phd scholarship bioinformatics

PhD scholarship

 PhD positions in Bioinformatics, Genomics and Life Science:

Update on August 21 , 2024

14 phd positions in microbiology and immunology.

The University Hospital Erlangen, founded in 1815, is a center of state-of-the-art research and clinical medicine. More than 9,600 employees from around 50 professions carry out excellent research and care for our patients. Immunomedicine is a major research and clinical focus of the University Hospital Erlangen and the Friedrich-Alexander-University Erlangen-Nürnberg.

The Research Training Group 2740 (RTG, “Graduiertenkolleg 2740”), which has started in January 2022, is a research consortium funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). It consists of 15 outstanding research groups located in Erlangen, Regensburg, and Cologne and focuses on the in situ analysis of micromilieu factors and metabolites in the context of microbial infections (“ immunomicrotope ”).

Essential experience / qualifications

• Candidates for the doctoral positions in natural science (Dr. rer. nat.) or human biology (Dr. rer. biol. hum.) must hold a M.Sc. degree in immunology, microbiology, cell and molecular biology, biochemistry, molecular medicine, applied mathematics, theoretical physics, or in bioinformatics.
• Enthusiasm for experimental in vitro and in vivo research, self-reliance, ability to work in a team, excellent skills of the English language and an intrinsic motivation for the specific training program of the RTG 2740 are expected.

The recruitment symposium will take place on October 1 and 2, 2024, in Erlangen.

For details click here

12 fully funded PhD positions in Biology/ Bioinformatics

The Cologne Graduate School of Ageing Research (CGA) in Germany is a joint venture of the University of Cologne Excellence Cluster on Stress Responses in Aging-Associated Diseases (CECAD), the University Hospital Cologne, the Max Planck Institute for Biology of Ageing and the Max Planck Institute for Metabolism Research. Cologne has emerged as a leading global research cluster with a stellar constellation of institutes and scientists dedicated to ageing research in Life Sciences. We offer up to 12 fully funded PhD positions to highly motivated and talented researchers.

The structured Ph.D. training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2025 . The initial contract is limited to three years. Payment is based on the German TV-L E13 scale, 65% if terms and conditions under collective bargaining law are fulfilled or on an equivalently remunerated PhD support contract of the Max Planck Society.

We are looking for

Highly qualified and motivated students holding an MSc or equivalent degree in Biology, Cell/Molecular Biology, Biochemistry, Bioengineering, Bioinformatics, Biophysics, Genetics, Medical Biology, Translational Medicine or a related field Students who have already demonstrated their motivation, interest and qualification for the above research areas by achieving very good grades in their BSc and MSc studies Candidates with very good English skills (C1 level, written and spoken)

Further information

Application period: August 12 - November 4, 2024 Online application portal: https://application.ageing-grad-school.de

Contact: [email protected]

Internet: https://www.ageing-grad-school.de The associated institutes are committed to diversity, diversity of perspectives and equal opportunities. Applications from people with disabilities and their peers are especially welcome, and preference will be given to people with disabilities if they are equally qualified. We are also committed to increasing the number of women in areas where they are under-represented and therefore strongly encourage women to apply.

Posted on August 10, 2024

Two PhD fellowships in experimental brain tumor research and bioinformatics

The selected candidates will be part of professor, consultant neuropathologist Bjarne Winther Kristensens research group https://bric.ku.dk/research-groups/Research/kristensen-group/  Bjarne Winther Kristensen will be the principal supervisor. A main interest in the group is how the role of the tumor microenvironment influences brain tumor aggressiveness and therapy response and how this change between different types and subtypes of brain tumors. Most of our projects focus on glioblastoma. The PhD fellowships are supported by the Lundbeck Foundation.

Your job You will join a multi-disciplinary research team that work with both patient tumor tissue, experimental in vitro and in vivo brain tumor models and advanced bioinformatics.

Job description Your key tasks as a PhD student at SUND are:

• Carrying through an independent research project under supervision.
• Completing PhD courses or other equivalent education corresponding to approximately 30 ECTS points.
• Participating in active research environments including a stay at another research team.
• Obtaining experience with teaching or other types of dissemination related to your PhD project
• Teaching and disseminating your knowledge.
• Writing a PhD thesis on the grounds of your project

Key criteria for the assessment of applicants Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. human biology, neuroimmunology and bioinformatics. Please note that your master’s degree must be equivalent to a Danish master’s degree (two years).

For specific information about the PhD fellowship, please contact the principal supervisor professor Bjarne Kristensen, email:  [email protected]

Application deadline: Friday, July 19 2024, 23.59pm CET

PhD fellowship in Bioinformatics/Data Science/Machine Learning

We are looking for a highly motivated and ambitious bioinformatician / data scientist / Machine Learning specialist for a three-year PhD fellowship commencing 1 October 2024 or as soon as possible thereafter.

The “Data Science for Drug Design” (DSDD) research group is dedicated to the development and application of cutting-edge and data-driven technologies to advance network medicine. The DSDD group has a broad expertise encompassing structural bioinformatics, cheminformatics, computer-aided drug discovery & design, research tool/database development and applying machine learning/AI approaches.

Department of Drug Design and Pharmacology is committed to research-based teaching and interdisciplinary research that supports the development and understanding of chemical and pharmacological properties of drugs and drug targets. We work as part of a dynamic academic community of research, education and innovation within the Pharmaceutical Sciences bridging Health Sciences and Life Sciences.

We are looking for a highly motivated and ambitious bioinformatician, data scientist or machine learning specialist, ideally experienced in large language models and protein-protein interactions.

Essential experience and skills:

• An MSc related to bioinformatics, computational biology, computer science, machine learning, systems biology, pharmaceutical sciences, applied math/statistics/physics, data science, or related fields.
• Excellent programming skills, preferably in Python
• Experience handling (large) datasets, performing data parsing and analysis
• Proficient communication skills and ability to work in teams
• Excellent English skills written and spoken

Application deadline: 21 July 2024, 23.59pm CET

PhD Microbiome Monitoring for Food Safety

The Netherlands Food and Consumer Product Safety Authority (NVWA) enforces rules and regulations to guard the safety of foods throughout the food chain. And luckily, the current status of food safety in the Netherlands is quite high. Nevertheless, changes in the food production chain continuously challenge food safety. For example, production methods, societal preferences, economic drivers or consumer behavior may change over time, with potential consequences for food safety.

You will be enrolled in the Graduate School of the Faculty of Science and embedded at the Microbiology Theme at the Swammerdam Institute for Life Sciences at the University of Amsterdam, supervised by prof. dr. Linda Verhoef and prof. dr. Stanley Brul (promotors). You will closely collaborate with biosystems data analyses group (BDA). The work performed at WBVR will be co-supervised by dr. M. Brouwer.

In this research project, you will work with monitoring samples that NVWA collects in the context of AMR monitoring in food production animals. You will enrich this sample flow with microbiological and epidemiological data, aiming to identify indicators that are relevant for (changes in) food safety. By making smart use of monitoring data, and enriching the sample flow with epidemiological data, you will investigate whether genotype profiles can provide biomarkers as a sneak preview into changes in food production systems. 

You have/are

• a degree (MSc, or equivalent) in Food Safety, Microbiology, Molecular Biology, Biomedical Sciences, or closely related fields. Candidates in the final stages of obtaining their degree are eligible to apply;
• an excellent background in bio-informatics and molecular microbiology, expertise in the field of food safety, an interest in (epidemiological) data-analyses and hands-on experience in next gen sequencing;
• fuent in English, both written and spoken;
• strongly motivated, highly curious, problem-solving, a team player who can also work independently.

Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact: prof. dr. ir. Linda Verhoef, email [email protected] l or prof. dr. Stanley Brul email [email protected]

PhD position in lipid metabolism engineering in microalgae

As a part of a European project, we are seeking a highly motivated and skilled early-stage scientist to join our highly dynamic team as a PhD candidate. The successful candidate will play a critical role in advancing our research and development efforts in the field of microalgae lipid metabolism engineering and photosynthesis, and will have the opportunity to join a highly exciting international European consortium and team. This position requires a strong foundation in molecular engineering, metabolic pathway analysis, and synthetic biology, along with hands-on experience in bioreactor operations.

Key Responsibilities:

• design, execute, and optimize experiments focused on lipid production in microalgae;
• engineer and manipulate metabolic pathways to enhance lipid biosynthesis;
• apply synthetic biology techniques to modify and optimize microalgal strains;
• operate and maintain bioreactors for the cultivation and experimentation of microalgae;
• analyze data and interpret results to drive project progress and innovation;
• prepare technical reports, scientific publications, and presentations to communicate research outcomes.

Your qualities

• MSc in Life Sciences related field, especially: Biochemistry, Biotechnology, Molecular Biology, or a related field;
• demonstrated enthusiasm and interest in molecular engineering and synthetic biology of eukaryotic microalgae;
• basic/advanced understanding of photosynthetic metabolism;
• strong background in metabolic pathway analysis and genetic manipulation;
• practical experience with bioreactor systems and microalgae cultivation;
• proficiency in molecular biology techniques, including gene cloning, CRISPR, and DNA assembly;
• excellent problem-solving skills and the ability to work independently and collaboratively;
• strong communication skills, both written and verbal, with the ability to present complex data clearly;
• valid English certificate (e.g., TOEFL) for non-Dutch degrees.

Preferred Qualifications:

• previous experience and/or knowledge in lipid metabolism and engineering and/or microalgae research within lipid metabolism or photosynthesis research;
• familiarity with omics technologies (genomics, transcriptomics, proteomics, metabolomics);
• experience with bioinformatics tools and software;
• experience with metabolic model is a plus.

For more information about the procedure, please contact Rutger Voorrips, recruiter, by email: [email protected] .

Posted on July 10, 2024

Doctoral Researcher in Microbiome Systems Biology

The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics invites talented and highly gifted candidates to apply as Doctoral Researcher (m/f/div) in Microbiome Systems Biology for four years.

As part of a new EU-funded project, the Microbiome Dynamics (MBD) department contributes to developing microbiome-based creative solutions to address precision nutrition for immune health in obese people. We are seeking an excellent and enthusiastic Ph.D. student in the fields of metabolic modeling and/or microbiome data to work on this project and collaborate closely with an extensive network of top European scientists and start-ups. The objective of the Ph.D. project is to conduct extensive in silico microbiome metabolic modeling to predict food-microbiome interactions and their effects on immune health.

The candidate will also have the opportunity to contribute to several national and international research projects focused on the role of the microbiome in globally significant diseases. Together with renowned scientists and supported by an excellent infrastructure, you will have the opportunity to contribute to a healthier, cleaner, and fairer society. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

• A strong interest in conducting collaborative research on the topic outlined above is paramount
• Candidates are expected to be interested in working at the boundaries of several research domains
• Master’s degree in computational biology, bioinformatics, bioengineering, chemical engineering, or a related discipline
• Knowledge and experience in the analysis of biological high-throughput data
• Knowledge of statistical methods in the context of biological systems
• Experience with programming (Python, Perl, C++, R)
• Well-developed collaborative skills

Further information: Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 | [email protected]

The deadline for the advertisement is July 31, 2024, but applications will be reviewed on a rolling basis.

Doctoral student in Cardiac genomics

The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Department of Molecular and Clinical Medicine is located at the Institute of Medicine at the Faculty of Medicine at Sahlgrenska Academy, University of Gothenburg . Our primary research at the department focus on metabolism, diabetes, obesity and cardiovascular disease. We support and promote research and teaching in translational medicine to improve health and to benefit society.

The PhD education in Medical Science comprises carrying out a scientific project and completing at least 30 credits of courses at third-cycle level. The doctoral student must also write a scientific compilation thesis or monograph corresponding to at least 120 credits. The project "Dissecting cardiac genomes in human heart failure" aims to determine the contribution of somatic mutations to heart failure (HF). HF is a leading cause of death and disability which results when the heart is unable to generate sufficient output of blood for the needs of the body. The causes and mechanisms underlying HF are poorly understood and therapy mainly targets the consequences rather than causes of HF.

Eligibility   

Education at third-cycle level requires general eligibility and specific eligibility as set out in the general syllabus for the subject.

The general eligibility requirements for education at third-cycle level are: 1. having completed a degree at second-cycle level, or 2. the fulfilment of course requirements totalling at least 240 credits, of which at least 60 credits must be at second-cycle level, or 3. the acquisition of equivalent knowledge in some other way, either in Sweden or abroad.

Specific entry requirements for this subject, according to the general syllabus, are: having completed the English B/6 course or is considered to have acquired equivalent knowledge through previous studies.

Contact information 

For more information about the project please contact principal supervisor, Gustav Smith, Professor, Institute of Medicine, e-mail:  [email protected]

PhD student: Deep learning in Genomics

The Yves Moreau and Stein Aerts research labs are looking for a shared PhD student to apply deep representation learning and large language models to decipher the genomic regulatory code, with a focus on the human brain. You will engineer new AI models to predict cell-type specific expression of all protein-coding genes in the genome, across diverse cell types in different regions of the human brain. Techniques will include Transformers, self-supervised learning, reinforcement learning, and generative AI models. Explainability of your models is essential, to discover new biological rules of the genomic regulatory code. As a secondary aim, your trained models can be applied to interpret human genetic variation and to improve the prediction of disease risk from the genome sequence.

The project, funded by an FWO Strategic Basic Research (SBO) grant, will focus on designing and testing genomic enhancers to target transgenes to specific cell types in the mouse brain and in cultured human brain biopsies using adeno-associated viral vectors. Whereas you will focus on AI modeling, other members in the consortium will perform wet-lab experiments to test your predictions and designed DNA sequences. This provides an opportunity to get acquainted with “wet-lab” experimental research. The PhD student will be stationed at ESAT-STADIUS in the Moreau group but will be embedded in both the Moreau and the Aerts labs as well as the new VIB Center for AI & Computational Biology and the Leuven Bioinformatics and AI community . The PhD student will be jointly supervised by Yves Moreau and Stein Aerts.

• You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent. Please note that to be admitted to the doctoral training distinction (= cum laude) based on your study results or professional realizations is a strict requirement.
• Comprehensive AI background (deep learning, probabilistic modeling, generative AI)
• Proficient in Python programming
• Experience with machine learning is a plus (e.g., PyTorch/Tensorflow/Keras)
• Experience with explainable AI (e.g., SHAP) is a plus
• Experience with high-performance computing, software containers
• Experience with genomics is a plus, but not essential
• Ability to work independently and in a team.
• Proficiency in oral and written English.

How to apply?

Please complete the online application procedure and include a detailed CV, two reference letters, and a motivation letter.

For further information and questions, please send an email to Yves Moreau ( [email protected] ) or Stein Aerts ( [email protected] )

Posted on July 03, 2024

Doctoral (PhD) position in Genetics

Our vision is to use human genetics to understand how our evolutionary history impacts health and disease. We do so by leveraging large-scale biobanks, omics data and experimental techniques in our wet-lab. We are interested in the gene flow from Neandertals and Denisovans into modern humans and the genetic legacy of archaic gene variants. In addition, the group is interested in genetic variability in general and the functional consequences thereof, particularly for membrane-bound proteins such as receptors and ion channels. Other topics of interest include the genetic predisposition to infectious diseases, such as COVID-19.

What do we offer?

A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group.

Skills and personal qualities

•  We are seeking a highly motivated person who is guided by scientific creativity.
•  We welcome applicants with a background in medicine, biomedicine or molecular biology with: 1) interest and skills in bioinformatics or

         2) experience from wet-lab research and interest in analysing complex datasets.

• Emphasis will be placed on personal suitability, scientific interests, and hypotheses within the research-related area.

Terms and conditions

The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.

Reference number STOD 2-2770/2024

Last application date 19.Jul.2024 11:59 PM CEST

PhD Studentship in Immunotherapy/ Bioinformatics

Award Summary:

100% tuition fees and an annual stipend of £19,237 (2024/2025 UKRI rate). International candidates will be required to fund the difference between the home and international fees.

Location : Newcastle University, UK

This studentship will computationally investigate the heterogeneity of CAFs in NASH-HCC patients, employing bioinformatics and AI led image analysis of single-cell and spatial datasets, identifying features of disease stage, progression and therapeutic response.

Objective 1: Profile cancer-associated fibroblast heterogeneity in patients with NASH-HCC.

Bioinformatics analysis of pre-existing scRNA-seq data from HCC patient tissue. The student will learn to perform quality control, normalisation, dimensionality reduction, clustering, differential gene expression and trajectory analysis of scRNAseq data.

Objective 2: Develop new AI technologies to analyse multiplexed spatial imaging data of NASH-HCC patient tumours.

The student will analyse the first spatially resolved multiplexed analysis of NASH-HCC immunotherapy responders and non-responders, performing imaging mass cytometry analysis using standard published workflows. The student will work to develop advanced AI tools for image analysis, centred on detailed spatial relationships and specific cell-cell interactions, potentially limiting immunotherapy responses.

Objective 3: Perform an integrated analysis to identify serum signatures associated with CAF heterogeneity, tumour stage, progression, and response to therapy.

The connection between tumour stroma composition and immune cell presence and over 4000 circulating serum markers (O-link assays) will be explored, pinpointing serum signatures indicative of disease stage, progression, and treatment response.

Methodology and skills gained

The student will develop computational analysis skills, analysing and integrating large bulk RNAseq and scRNAseq datasets and highly multiplexed imaging data, also learning the fundamentals of machine learning AI analysis. They will be immersed in a thriving laboratory environment, with the opportunity to develop wet lab skills alongside their predominantly computational research.

Eligibility Criteria

You must have or be expected to gain a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project. A master’s qualification will be advantageous.

Applicants whose first language is not English require an IELTS score of 6.5 with a minimum of 5.5 in each subsection. International applicants may require an ATAS clearance certificate prior to obtaining their visa and to study on this programme.

How To Apply

You must apply through the University’s Apply to Newcastle Portal

Contact Details

[email protected] 

PhD position: Bioinformatics and Evolutionary Genomics

For the Van de Peer Lab (Bioinformatics and Evolutionary Genomics), in collaboration with the Flemish Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, we are looking for a m/f/x doctoral fellow.

About the project

Global climate change will challenge the productivity of major agricultural crops. Therefore, more resilient crops are required to secure sufficient food production worldwide. To create plants with desired productivity and better environmental stress tolerance, strategies such as genome doubling of agriculturally important crops and generating hybrids hold great promise. Yet, just how a plant manages to maintain a double set of chromosomes and how all alleles interact in dynamic genetic networks to create more phenotypic plasticity remains poorly understood.

This fully funded PhD project is part of the Methusalem project granted to Prof. Yves Van de Peer and aims to gain a deeper understanding of polyploidy through genomics, experimental evolution, modeling, and artificial intelligence. Partner institute ILVO explores the benefits of polyploidization in crop breeding by studying genome doubling and interspecific hybrids.

About your job

In this project, you will investigate the phenotypic, physiological, and molecular response of interspecific, tetraploid hybrids and their diploid parents in drought experiments and yield trials. Experiments will span the range from single cells to plant populations at the field level, with both fundamental research questions and direct practical applications in plant breeding, through an interdisciplinary approach. You will collect genomic data with high throughput sequencing (HTS) methods, and combine it with phenotypic field observations. Additionally, you will apply molecular markers to study genome constitution and perform single-cell RNA-Seq experiments to study differential gene expression networks.

• You have a keen interest in applied plant research and in combining wet-lab experiments with bio-informatics.
• Practical experience in a molecular lab and/or HTS data analysis/bio-informatics expertise is strongly recommended.
• You have programming skills in Python or another scripting language, or you are willing to learn it.
• You have good communication and writing skills and have an excellent knowledge of written and spoken English.
• You are highly motivated, enthusiastic and self-critical. You work with attention to detail, and you have an open mindset to learn new skills.
• You combine being a team player with a strong sense of autonomy and responsibility.
• You are willing to apply for additional funding when eligible.
• You are willing to participate in the training and supervision of graduate students.

How to apply? 

Please complete the online application procedure and include a detailed CV, a letter of motivation and the contact details of two referees no later than August 21st, 2024.

For more information about this vacancy please contact Prof. dr. Tom Ruttink or dr. Marlies Peeters ( [email protected] ; [email protected] ).

Selected candidates will be informed no later than August 28th. Interviews will be held in the second week of September.

Posted on July 01, 2024

PhD student in Cancer Precision Medicine

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immune therapy, genomics and neuro-biology, molecular tools and functional genomics, neuro-oncology and neuro-degeneration and vascular biology. Department activities are also integrated with the units Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala.

Duties We are looking for a doctoral student with a special interest in the area of cancer precision medicine with a focus on hematological tumors and epigenetic regulation of gene expression.  The candidate will devote most of the time towards his/her research level education. Within this research level education the candidate will mainly focus on studies on epigenetic mechanism and the impact of these for tumor transformation and progression of the tumor clone in two hematopoietic tumors, multiple myeloma and acute leukemia in infants.

Requirements We are looking for applications from highly motivated candidates that hold a Master’s (second-cycle) degree in Medical Science, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or have acquired substantially equivalent knowledge in some other way. Previous experience in experimental research within the area and methods is highly warranted. A requirement is that the candidate manage well the English language both in written and spoken form.

For further information about the position, please contact:  Helena Jernberg Wiklund, [email protected]

Please submit your application by 15th August 2024, UFV-PA 2024/1573 .

PhD Studentship: Proteotranscriptomic

University of Surrey - Veterinary Medicine and Science

Exercise-induced pulmonary haemorrhage (EIPH) has serious welfare implications for racing Thoroughbreds (TB). Long term prognosis is poor and the only recovery recommendation is arbitrary rest time between severe EIPH episodes or retiral. With no ability to monitor varying severity within the pulmonary vasculature and tissue in vivo there is a clear unmet need to qualify and quantify EIPH severity and progression. In human medicine, the advent of ‘omics’ technology and biomarker discovery has allowed for more precise disease classification leading to stratified disease management. Human acute lung injury changes are reflected in circulating microRNA biomarkers, before changes in the lung occur. Excitingly microRNAs can also act as ongoing lung remodelling markers. Proteomic profiling of human pulmonary fibrosis and interstitial lung disease has also revealed a circulating protein signature pattern.

We hypothesise that the pathophysiology of EIPH leads to proteotranscriptomic changes at the tissue level with varying severity allowing us to identify signature patterns that differentiate between controls and EIPH cases. We further hypothesise that tissue level changes are reflected in circulating serum and such signature patterns can be utilised as biomarkers to determine disease severity and consequently develop a more targeted approach to managing EIPH. You will utilise our impressive bank of tissue samples and data collected from each horse to take a proteotranscriptomic and bioinformatics approach to start to answer some of the questions we do not know in relation to equine EIPH.

Entry requirements

Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2024. Later start dates may be possible, please contact Dr Susan Armstrong once deadline passes.

You will need to meet the minimum entry requirements for our Veterinary Medicine and Science PhD programme.

This is basic research with a strong molecular and bioinformatic focus project and undergraduates with a degree in a related discipline would be expected. Medical and veterinary graduates are encouraged to apply.  A Master’s degree in related subject is desirable and previous experience in statistical methodology is desirable. Potential students should provide an overview of how their qualifications and training fit with the project and can contact Dr S. K. Armstrong informally prior to application to discuss the project.

How to apply

Applications should be submitted via the Veterinary Medicine and Science PhD programme page.

Application deadline: 1 July 2024

Enquiries: Contact Dr Susan Armstrong

Ref: PGR-2324-085

PhD student in structure-based drug design with focus on machine learning

The Department of Cell and Molecular Biology is one of the most international, broad and distinguished molecular bioscience departments in Europe. The department comprises sju research programs with about 220 employees ( http://www.icm.uu.se ). The PhD position is available in Jens Carlsson’s group in the computational biology and bioinformatics programme. Jens Carlsson’s research focuses on using molecular modeling techniques to study protein-ligand interactions. The Carlsson group uses structure-based methods (e.g., molecular docking and molecular dynamics simulations) to understand protein function and to design ligands of pharmaceutically important targets, often in close collaboration with experimental groups. The Carlsson group is an international research team and is also part of the Science for Life Laboratory ( http://www.scilifelab.se/ ). Visit the group website for more information ( http://www.carlssonlab.org/ ).

Project description The objective of the PhD project is to develop computational approaches to identify small molecule and peptide ligands that target therapeutically relevant receptors, with the vision to accelerate the drug discovery process. The project will be focused on addressing several challenges in structure-based drug design using artificial intelligence. Recently developed techniques for the prediction of the three-dimensional structures of proteins and protein-ligand complexes will be optimized for drug discovery applications.

Requirements The applicant must hold a master’s degree in biology, chemistry, pharmacy, physics, computer science or within another subject which the employer considers to be equivalent. The applicant must have good ability to work independently as well as in a group. Excellent written and oral knowledge of English is required as the work takes place in an international environment.

For further information about the position, please contact: Jens Carlsson, [email protected], Tel: +46 (0)72 227 7976.

Please submit your application by 17 June 2024, UFV-PA 2024/1634.

Posted on June 25, 2024

PhD candidate for Spatial multi-omics data integration

Project Overview

This PhD position is one of multiple positions within a larger project aimed at optimizing spatial omics analysis for a variety of biological applications. Your research will primarily focus on the integration of spatial omics data, working closely with leading experts. including the Martin Guilliams lab and the Chris Marine lab, VIB-UGent Center for Inflammation Research, Belgium

What you will do

• Analyze and integrate spatial omics data generated from advanced technologies such as MERFish Vizgen, MACSima Miltenyi, and 10X Visium-HD generated at the VIB.
• Develop new computational methods and tools for spatial omics data analysis.
• You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent.
• Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning
• Proficient in Python or R programming
• Strong communication skills in English

Desirable but not required 

Preference will be given to candidates with experience with

• experience with processing scRNA-seq or spatial transcriptomics data
• experience with high-performance computing and software containers
• a background in systems biology

Key personal characteristics

• Strong interpersonal skills
• Ability to work independently and as part of a team
•  Competitive stipend and benefits package
• Fully funded PhD scholarship, but encouraged to apply for a national PhD fellowship (e.g., FWO)
• A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international level, and various opportunities to broaden your expertise.
• Access to state-of-the-art compute & GPU infrastructure
• Collaborative and supportive research environment
• Attendance of national and international conferences
• Training courses in academic, technical, and career skills.

For further information and questions, please send an email to Yvan Saeys  ( [email protected] ).

PhD in Computational Biomedicine / Machine Learning / Spatial Omics

We are looking for a highly motivated and talented PhD student to join the newly created Translational Spatial Profiling Center at the Heidelberg University Hospital, managed by the Institute for Computational Biomedicine and the Institute for Pathology.

In a dynamic and multidisciplinary environment, the candidate will work on the development of novel methods for analysis of state-of-the-art spatially resolved data.The candidate will explore the landscape of explainable machine-learning and optimization approaches and create novel approaches that can be applied in a clinical setting. The work will be motivated by problems arising from a range of translational applications, initially focusing on cancer research, and will be directly supported by data generated within the center.

Your Profile

• Either a degree in computer science, engineering sciences, physics or mathematics, or a degree in biological sciences or medicine with previous experience in computational work
• Motivated to work on challenging interdisciplinary project with biomedical relevance
• Strong interest in learning and/ or knowledge of histo(patho)logy and cancer biology
• Experience programming in R or Python
• Good English communication skills
• Possibility of doctorate
• Possibility to publish scientifically is offered and supported
• Regular team meetings
• Interdisciplinary cooperation with local and international research networks
• Access to high performance computing infrastructure
• Collectively agreed remuneration, attractive company pension scheme (VBL)
• 30 days vacation
• Sustainable travel: job ticket
• Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
• Wide range of health, prevention and sports offers

Contact & Application

For further information please contact Jovan Tanevski via e-mail .

Interested?

Applications will be accepted until 08.07.2024 via e-mail . Please submit a letter of motivation tailored to the position (1 page), CV and a list of references with contact details.

Institute for Computational Biomedicine Dr. Jovan Tanevski Im Neuenheimer Feld 130.3 69120 Heidelberg [email protected]

PhD Studentship: Data analytics to disentangle molecular level interactions in microbiomes

This 3.5 year PhD is fully funded by The Department of Chemistry (The University of Manchester) . Tuition fees will be paid and you will receive a tax free stipend set at the UKRI rate (£19,237 for 2024/25). The start date is September 2024. This funding is for UK students and those with settled status.

We have an exciting opportunity for a PhD student with an interest in data analytics to join our team working on the BBSRC funded SLoLa project “Rules of life in CO2-driven microbial communities: microbiome engineering for a Net Zero future”. The project will study how the complex mix of microorganisms in a microbiome interact with each other to understand why these stable microbial communities form and how we can engineer a microbiome to utilize CO2 better as a carbon source to capture CO2 and generate useful organic products. To establish the dynamics of the interactions between the different organisms in the microbial community we will be using a range of mass spectrometric techniques, including proteomics and metabolomics and stable isotope labelling and flux analysis on some of the latest generation equipment. These methods generate large amounts of raw data, and methods to improve effective and efficient data extraction, analysis and processing are needed.

This studentship will be based in the world-renowned Manchester Institute for Biotechnology at the University of Manchester working under the supervision of Professors Pitt, Breitling and Cameron. This studentship would suit someone interested in generating new methods and pipelines for data extraction and processing of mass spectrometry data. This is a key role that sits between data collection and bioinformatics and data modelling This will require someone with an interest in data analysis and experience of scripting. The role will require working closely with the data generation and modelling teams, and there will be an opportunity to perform some data collection if interested.

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Please contact the main supervisor, Prof Andrew Pitt, before you apply: [email protected]

Posted on June 15, 2025

PhD scholarship in Single Cell Bioinformatics

Are you interested in becoming a bioinformatics researcher working with state-of-the-art methods and data? Would you like to contribute to research that will deepen our understanding of the interplay between the viruses and the immune system? Then this is the PhD project for you. In this project, you will be working with single cell proteomics and transcriptomics data from clinical trials testing virus vaccine strategies, as well as pre-clinical data from model organisms. During this project, you will be joining the Single Cell Omics group at the Section for Bioinformatics at the Technical University of Denmark .

About the Single Cell Omics group We are a bioinformatics outfit working on the development and application of data analysis tools, with a specific (though not exclusive) focus on single cell data, such as single cell cytometry (flow, mass, and barcode-based cytometry), single cell sequencing (tag-based, full transcript-based), and single cell mass spectrometry. We collaborate with clinicians on prognostics, diagnostics, and therapeutics for various diseases, including cancer and inflammatory bowel disease.

Responsibilities and qualifications Your overall focus will be to handle, analyze, and communicate results from single cell studies of the immune response to viruses. You will apply existing tools for analysis of single cell data and develop new methods if gaps in the repertoire are identified.

The following requirements must be met by the successful candidate:

• Strong background in biology (e.g. through a relevant degree programme or relevant work experience)
• Strong programming skills

The following are desirable, but not required:

• Experience working with data analysis in R (the research group you will be joining works primarily in R)
• Experience working with RNA sequencing data
• Experience working with, or working knowledge of single cell RNA sequencing data
• Basic understanding of immunology

Further information Further information may be obtained from Lars Rønn Olsen, email: [email protected] .

Application procedure  Your complete online application must be submitted no later than 20 June 2024 (23:59 Danish time) . Applications must be submitted as one PDF file containing all materials to be given consideration.

PhD Student: Machine Learning Applications and Data Analysis in Translational Psychiatry

At the Max Planck Institute of Psychiatry in Munich , basic scientists and clinicians are working in close cooperation to understand the causes of complex diseases of the brain, searching for new prevention and treatment strategies. This translational research strategy is supported by a modern psychiatric research hospital as well as a number of research departments and research groups with expertise ranging from neurobiological research methods as well as clinical and behavioural studies to molecular genetics and computational approaches. The overarching goal is to optimise the benefit of research advances for the patients by way of close and innovative networking of basic research-oriented and clinical neuroscience.

The Project Group “ Translational Deep Phenotyping” offers a position from 01.03.2024 as PhD student (m/f/x) for development and implementation of machine learning applications and data analysis in Translational Psychiatry.

The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max Planck Institute of Psychiatry focuses on developing transdiagnostic biomarkers across the spectrum of mental illness. The project group “Translational Deep Phenotyping” explores and validates biomarkers that identify and predict disease severity and treatment response in schizophrenia spectrum disorders and depression. This approach enhances the comprehension of mental illness pathophysiology through a highly interdisciplinary, integrative, and multimodal approach.

Your profile

• You studied in the field of life science or bioinformatics
• You have experience in basic molecular and optionally also in cell biology techniques
• You have beginner-intermediate level experience on the use of R or Python for data analysis
• You are a team player
• You work carefully and independently
• You have excellent skills in spoken and written English

Please contact Dr. Dr. David Popovic for further questions: [email protected] .

Posted on June 01, 2024

19 fully funded PhD scholarships in Computational Biology, Structural Biology, Genomics, Neurogenomics or Biophysical modelling

Human Technopole is offering up to 19 fully funded PhD scholarships to young scientists from the national and international community who wish to undertake a doctoral degree on a project focused on Computational Biology, Structural Biology, Genomics, Neurogenomics or Biophysical modelling.

In the multi and interdisciplinary scientific environment of the European School of Molecular Medicine (SEMM) network, that includes 8 Italian Research Centers and 7 Italian Universities, we offer an innovative PhD program in Systems Medicine. The PhD Program aims to train young and motivated researchers in the wide field of modern Biomedicine. The general idea is that complex systems, such as diseases and their pathogenesis, cannot be understood taking into account a single point of view. The expertise of different scientists, biologists, medical doctors, computer scientists, physicists and mathematicians is needed to provide new insights.

AWARDING BODIES

SEMM PhD program is a 3 rd -cycle university degree, fully academic in nature and it is released by SEMM's collaborating universities that acts as awarding bodies: The qualification of Doctor of Philosophy, abbreviated "PhD", is awarded jointly by the Rectors of the University of Milan (administrative site), the University of Naples "Federico II", the University of Bari, the University of Turin, the University of Trento, the Catholic University of the Sacred Heart, and Hunimed of Milan in compliance with the Ministerial decree dated 14 December 2021, n. 226; in the title and the certificate the institutional/scientific role of the Fondazione SEMM as well as the curriculum attended are expressly mentioned. The title gives full access to post-doctoral research positions in Europe and worldwide.

RESEARCH CENTERS

Research centers include: European Institute of Oncology (IEO), FIRC Institute of Molecular Oncology (IFOM), Center for Genomic Science of IIT, National Institute of Molecular Genetics (INGM), Italian Institute of Genomic Medicine (IIGM), Human Technopole (HT), Center for Genetic Engineering (Ceinge), Telethon Institute of Genetics and Medicine (TIGEM). Science covers virtually every aspect of modern Cell and Molecular Biology, from both the basic and applied research points of view, it is highly multidisciplinary and is supported by know-how extending from functional genomics to developmental model systems.

FELLOWSHIPS

All admitted students will have a fellowship. It consists of an annual gross amount of € 20.266,50 . The amount is not subject to IRPEF taxation, as per the art. 4, Law n. 476 dated 13/8/1984, and subject to the regulations of the art. 2, subs. 26, Law n. 335, dated 8 August 1995, as far as the pension contributions are concerned. Fellowships are mostly offered by the Universities, but can also may be available at host research centres. These fellowships will be independently managed by the individual granting institutions with specific awarding and delivery modalities; these will not be in any way ascribable either to SEMM or the Universities. The number of available positions/fellowships will be communicated at the time of the call.

We encourage applications from highly motivated graduates with outstanding academic qualifications. Successful candidates will join research groups headed by top-level scientists and will carry out their research in cutting-edge fields in a stimulating environment.

The PhD positions are available through the SEMM PhD Program in Systems Medicine .

Detailed information on the call and on the application process here .

Deadline 27 June 2024.

Posted on May 23, 2024

Doctoral (PhD) student position in computational network-based cancer precision medicine

Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.

During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see: Data-Driven Life Science (DDLS) - SciLifeLab

The doctoral studies will be conducted in the Cancer Proteomics Mass spectrometry research group headed by  professor Janne Lehtiö .  The research group  is placed at SciLifeLab in Solna, Stockholm. The Lehtiö research group is a translational team of scientists dedicated to advancing human proteome analysis. We develop innovative methods to enhance personalized cancer treatments.

Proteomics is the large-scale study of proteomes - entire sets of proteins in a biological system. This field of science focuses on understanding the proteins in biological processes. By analysing the proteome, we can gain insights into cellular behaviour, disease mechanisms, and potential therapeutic targets. Proteomics involves various technologies and methods, such as mass spectrometry and bioinformatics.

You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:

• have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
• have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the advanced/second-cycle/master level, or
• have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*

Reference number STOD 2-2069/2024

Last application date 06.Jun.2024 11:59 PM CEST

Doctoral scholarship holder omics driven drug discovery

The  University of Antwerp  is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day.

The  Center of Medical Genetics  in the Faculty of Medicine and Health Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of “ Omics driven drug discovery in hereditary aortopathy ”

The Antwerp Center of Medical Genetics (CMG) is a large clinical, diagnostic and research department that is embedded within the University of Antwerp and the Antwerp University Hospital. The CMG has built up a substantial know-how and infrastructure in the field of the clinical, molecular and pathophysiological study of several hereditary diseases: heart diseases, hearing loss, cancer, bone diseases and mental retardation.

• You will work actively on the preparation of a PhD thesis in the field of cardiogenomics, more specifically hereditary aortic aneurysm and dissection.
• You are eager to take on a challenging PhD project investigating the molecular mechanisms of aortic aneurysmal disease, making use of human DNA, mouse models, cells (iPSC-derived models), -omics datasets and bioinformatics tools.
• You will publish high-quality scientific articles related to the research project.
• You will present your work at national and international scientific workshops and conferences.
• You hold a Master degree in (Bio)medical sciences, Biochemistry, Biotechnology or closely related discipline, or you will have obtained it by the time you start to work.
• You are eligible to apply for FWO(-SB) scholarship.
• You can demonstrate excellent study results.
• Your research qualities are in line with the faculty and university research policies.

Want to apply?

• You can apply for this vacancy through the University of Antwerp’s online job application platform up to and including  June 17, 2024   (by midnight Brussels time) .  Click on the 'Apply' button and complete the online application form. Be sure to include the following attachments:
• a motivation letter
• your academic CV (including honors, grades, skills, prior mobility, publications,…)
• The selection committee reviews all applications as soon as possible after the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure.
• If you have any questions about the online application form, please check the  frequently asked questions  or send an email to  [email protected] . If you have any questions about the job itself, please Prof Dr Bart Loeys ( [email protected] )

PhD position at the Department of Biomedicine

At the Faculty of Medicine, Department of Biomedicine, a full-time PhD position is available for a period of four (4) years. The position include 25 % required duties such as teaching or course assistance, depending on the demands at the department.

The position is part of the ongoing project Research Council of Norway project (2024-2027) “Impaired microcirculation and tissue hypoxia as a possible mechanism in ME/CFS”, and is funded by the University of Bergen

We offer the unique opportunity to work with state-of-the-art techniques and link basic research with clinical sciences. The close cooperation with the facilities of the Haukeland University Hospital will allow you to push the boundaries of classical medical research. The preferred start is autumn 2024.

About the project/work tasks:

The overall goal of the project is to characterize and understand key elements of the pathomechanism of ME/CFS through high-dimensional data from patients and experimental laboratory approaches. The project aims to contribute to the discovery of effective biomarkers and therapy for these patients.

• The patient sample analyses include state-of-the-art technologies (e.g. -omics, flow cytometry, and others) and related bioinformatics workflows.

In vitro models, including cell type and tissue specific cell models, will be utilized to address specific aspects of the targeted hypothesis.

Qualifications and personal qualities:

The applicant must hold a master`s degree or equivalent in biomedicine, medicine, or bioinformatics, or must have submitted his/her master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded before the start of the position.

• The candidate should have documented experience with both wet lab and bioinformatics analysis.

Experience from relevant research projects will be considered as positive.

Deadline 5th June 2024

PhD Position in Coleoptera Phylogenomics

The Senckenberg Gesellschaft für Naturforschung (SGN) was founded in 1817 and is one of the most important research institutions in the field of biodiversity. At its eleven locations throughout Germany, scientists from over 40 nations conduct cutting-edge research at an international level. At the Senckenberg Research Institute and Natural History Museum Frankfurt we seek to fill the position of PhD Position – (m/f/d) in Coleoptera Phylogenomics.

The project focuses on Dorynotini, a Neotropical tribe of tortoise beetles, to explore trait evolution, including antipredator traits, in relation to shifts between savanna/dry forest and tropical rainforest biomes. Moreover, the project seeks to understand the tribe’s spatiotemporal evolution, more specifically, the role of seasonally dry tropical forests for dispersal across South America, and how the morphological diversity on the Caribbean islands evolved. The PhD student will engage in diverse activities spanning field work in South America and the Caribbean, fossil description, alpha taxonomy, phylogenomics, historical biogeography, and bioinformatics.

• Master’s degree in evolutionary biology (ideally in entomology)
• strong interest in entomology and systematics
• a background in phylogenomics (preferentially anchored hybrid enrichment, low-coverage whole-genome sequencing), including assembly and wet lab methods
• Experience with methods of divergence time estimation, ancestral range reconstruction and trait evolution is also beneficial, as is publication in peer-reviewed journals
• Ability to conduct field work in the Tropics
• Good communication and writing skills in English
• Strong organizational skills

Please send us your complete and informative application documents (letter of motivation, including a possible start date, summary of previous research experience, a CV and contact information for at least two references, and copies of certificates, transcripts and grades) mentioning the reference of this job offer (ref. #01-24019) until 14.06.2024, by e-mail ( attachment in a single pdf document to: recruiting(at)senckenberg.de .

Senckenberg Gesellschaft für Naturforschung

Senckenberganlage 25

60325 Frankfurt a.M.

E-Mail: r ecruiting(at)senckenberg.de

For information regarding the scientific aspects of the project please contact Marianna Simões ( marianna.simoes(at)senckenberg.de ).

Posted on May 20, 2024

PhD student Bioinformatics

The Cent re for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies.

In April 2021 , the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research ' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers (Charter and Code). 

The “Single cell and Synthetic Genomics of Blood Formation” is looking for a motivated PhD student in bioinformatics. The student will work on a project related to lineage tracing in the hematopoietic system. Specifically, we have recently developed a new approach for tracking hematopoietic stem cell clones through their differentiation, using epimutations and single cell DNA methylation readouts ( see biorxiv preprint ). The student will further develop the application of this method to human blood- ansd bone marrow samples and in particular investigate alterations to clonal dynamics and clonal stem cell function during ageing. The student will be mainly responsible for the data analysis in this project.

Professional experience

You have experience with the computational analysis of single cell data

Desirable but not required/ Nice to have 

• Experience with the computational analysis of DNA methylation data
• Basic experience in the wet lab

Education and training

Candidates should have a University Degree and a master's degree in bioinformatics, molecular biology, biotechnology or a related discipling within the European Higher Education System (minimum 300 ECTS) or equivalent by October 2024

Deadline: Please submit your application by 31/5/2024

PhD position MetaHealth

Location : Academisch Centrum Tandheelkunde Amsterdam

This PhD project is supported by the NWA program METAHEALTH, which focuses on oral and metabolic health in the first 1000 days of life. The PhD candidate will collaborate closely with fellow PhD students studying social behaviour, mathematical modeling and gut microbiome modelling in METAHEALTH.

Your duties

Your responsibilities are 1. improving the existing 3D reconstructed human gingiva model in order to better mimic the microbial exposure infants encounter in their oral cavity; 2. exploring various factors influencing the host-microbiome interactions, including the impact of diet components and immune factors, with the improved model. Through comprehensive phenotypic and functional analyses you will elucidate the host responses crucial for maintaining tolerance and fostering homeostatic interactions with oral microbes.

• You should hold a Master’s degree or equivalent in Microbiology, Molecular Biology, Biochemistry, Immunology, Biomedical Sciences, or closely related fields. Candidates nearing completion of their Master degree are eligible to apply.
• You are available to start between November 1 st 2024 and January 1 st 2025.
• Preference will be given to candidates with laboratory proficiency in standard microbial techniques, mammalian cell culturing and/or organoids culturing.

Do you have questions about this vacancy? Please contact: dr. Ling Shang, [email protected] , dr. Dongmei Deng, [email protected]

Closes on 30-6-2024

PhD in Metabolomics

Location: Utrecht University

Would you like to understand how endocrine disruptors affect human health? Are you passionate about metabolomics? Then a PhD position at the One Health Chemical group of the Institute for Risk Assessment Sciences (IRAS) might be just for you! We are offering an exciting PhD position to investigate the health effects of endocrine disrupting chemicals (EDCs) on multimorbidity, with a focus on metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic and immune related diseases.

Wat breng je mee?

As the ideal candidate for this position, you feel at ease working in a multidisciplinary environment and are a team player. You are enthusiastic, ambitious,  independent thinker, and have excellent writing skills. The nature of the position allows for diverse backgrounds, which include biology, chemistry, chemometrics , epidemiology , bioinformatics , statistics , computational epidemiology, or a related discipline. Affinity with OMICs data analysis is valued, and any experience with Large Language Models is considered valuable. You have experience with programming (e.g. R , Matlab , Python ).  Most importantly: you are willing to learn.

Candidates with the following skills are especially encouraged to apply:

• Experience in statistical analyses (e.g. R , Matlab , Python );
• Some experience with (OMICs) data analysis and/or Chemometrics and/or machine-learning, or willing to learn;
• A strong motivation to work in a multidisciplinary international research team;
• Willing to learn about large language models;
• Excellent collaboration and communication skills (written and spoken).

Meer informatie

This project is supervised by Dr. Vlaanderen, Dr. van Vorstenbosch and Professor R.C.H. Vermeulen. If you have any questions, please contact [email protected] .

Uiterlijk reageren op 1 juni 2024.

PhD position in structure-based RNA-ligand design

At the Faculty of Medicine, Department of Biomedicine in the group of Professor Ruth Brenk ( http://www.uib.no/en/rg/brenk ), a PhD-position (100 %) is available for a period of four (4) years or max 4 months after completed the PhD-degree, if this is achieved within a shorter time than four years. The candidates must be able to start the position latest mid-August 2024.

The position is part of the project “Paving the way for rational RNA-ligand design” financed by The Research Council of Norway.

The main objectives for the advertised PhD position are

• to carry out structure-based design of RNA-ligands
• to establish computational methodology on how to harvest the potential of large, chemically accessible combinatorial spaces for the design of RNA ligands
• to determine the binding affinities of RNA ligands
• to determine the crystal structures of RNA-ligand complexes

This PhD project will be conducted in collaboration with the group of Prof. Jens Carlsson at Uppsala University in Sweden implying that this position will involve research stays in his lab.

• The applicant must hold a master`s degree or equivalent within the field of cheminformatics, bioinformatics, pharmacy, medicinal chemistry, or a related discipline, or must have submitted his/her master's thesis for assessment prior to 30th of June 2024. It is a condition of employment that the master's degree has been awarded before the start of the position mid-August 2024.
• The applicant must have a thorough understanding of structure-based ligand design.
• Basic knowledge of a scripting language is required.
• Experience with RDKit is a distinct advantage.
• Experience with modelling RNA structures or RNA-ligand interactions is a distinct advantage.
• Training in organic synthesis or medicinal chemistry is a distinct advantage.
• Experience with using biophysical methods for determination of binding affinities is a distinct advantage
• Experience in X-ray crystallography is a distinct advantage.

Deadline 21st May 2024

Posted on May 07, 2024

PhD scholarship in Proteomics Bioinformatics

DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions.

My leadership philosophy can be simply stated as: people first. Our research is driven by a passion for science, but never at the expense of personal wellbeing! I firmly believe that science should be an exhilarating and enjoyable journey. Although I am not yet an experienced group leader, I take my role seriously and remain committed to continuous learning.

In our research group, I don't perceive myself as an authoritative figure who makes all the decisions. Rather, I see myself as a guide and facilitator for you. My primary role is to provide unwavering support to help you achieve our shared goals by navigating the right paths and eliminating obstacles along the way. I am committed to fostering an environment where scientific ideas, diversity and personal growth thrive.

Requirements The following requirements must be met by the successful candidate:

• Strong R programming skills
• Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell)

Further information Further information may be obtained from Kristoffer Vitting-Seerup, [email protected] .

Application procedure  Your complete online application must be submitted no later than 1 June 2024 (23:59 Danish time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file . The file must include:

• A letter motivating the application (cover letter – max 1 page)
• Curriculum vitae
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
• Letters of recommendation (mandatory)

PhD in Bioinformatics, Biostatistics and Artificial Intelligence

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors.

Your Role...

We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores).

What we expect from you…

• The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas
• Prior experience in large-scale data processing and statistics / machine learning is required
• Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV
• Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous
• The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
• Fluency in oral and written English

How to apply...

Applications should be submitted online and include:

• A detailed Curriculum vitae
• A motivation letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date
• Copies of degree certificates and transcripts
• Name and contact details of at least two referees

We ensure a full consideration for applications received by 31/05/2024. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

For further information, please contact: Enrico Glaab [email protected]

Posted on April 30, 2024

PhD position in bioinformatics and artificial intelligence

One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in biological networks, and modeling of evolution. The primary applications will be related to antibiotic resistance and bacterial genomics.

The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!

About the position Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims ( https://www.scilifelab.se/data-driven/ ) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.

During 2024 the DDLS Research School will be launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/

The position is in the field of data-driven epidemiology and biology of infection, which covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. The research in this field have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks.

Qualifications Candidates for this position must have obtained an M.Sc. degree in bioinformatics, mathematical statistics, mathematics, computer science, physics, molecular biology, or any equivalent topic (obtained latest October 1, 2024). Previous experience in analysis of large-scale biological data is desirable.

Candidates should also have good computing and programming skills (e.g. Python and R), experience in the Linux/UNIX computer environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required.

Application deadline: 2024-06-07

PhD student position in stochastic modelling of infectious diseases

One Ph.D. position is available in stochastic modelling of infectious diseases. The research project is focused on healthcare-acquired infections with the long-term goal of developing computational tools for outbreak surveillance, inference of transmission chains and evaluating interventions.

The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims ( https://www.scilifelab.se/data-driven/ ) to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.1 billion SEK (about 290 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.

Qualifications Candidates for this position must have obtained an M.Sc. degree in mathematics, mathematical statistics, bioinformatics, computer science, physics or an equivalent topic (obtained latest October 1, 2024). Previous experience in stochastic modelling and inference is desirable. Candidates should also have good computing and programming skills (e.g. Python and R) and previous experience in mathematical modelling of biological systems. Good presentation and communication skills in oral and written English are also required.

Application deadline: 2024-05-29

PhD position on the regulatory networks underlying temperature tolerance in cauliflower

Are you looking for a PhD position and interested in genetic regulation in cauliflower? Do you want to combine data collection in the field with computational data analysis to investigate a complex trait? Then this PhD vacancy may be of interest to you.

Cauliflower is an important vegetable that can grow in various climatic regions. However, it is sensitive to high ambient temperatures during development, which might result in delayed curd induction and poor curd quality. Some cauliflower accessions are more sensitive than others. The genetic basis underlying temperature tolerance is not well understood yet. In this project, we aim to optimize field phenotyping for the timing of curd initiation and curd architecture under various temperature conditions and to perform genomic and transcriptomic analysis to identify associated genomic regions and genes. This will ultimately contribute to the breeding of climate-proof cauliflowers.

As a PhD student you will work on this complex trait, by:

• performing independent research, supported by your supervisors;
• combine experimental fieldwork with bioinformatics to collect and analyze data;
• writing publications on your scientific work, culminating in a PhD thesis.

In particular, you will collect genomic, transcriptomic and phenotypic data from several large field experiments with 100-200 cauliflower genotypes. You will perform genome-wide association studies and transcriptomics to identify associated genomic regions and genes and investigate these further using state-of-the-art pangenomic tools.

You will work here This is a position in the team of Guusje Bonnema at the Laboratory of Plant Breeding ( http://www.pbr.wur.nl/ ), co-supervised by Sandra Smit from the Bioinformatics Group ( http://www.bif.wur.nl/ ) and Richard Immink from Bioscience (Wageningen Plant Research). To fully benefit from the surrounding expertise, the PhD student will divide its time between Plant Breeding and Bioinformatics. Plant Breeding is a merged unit of Wageningen Research and Wageningen University which conducts both fundamental and strategic research and teaching at BSc, MSc and PhD level.

Your qualities You are driven to unravel complex traits in plants by combining your expertise in plant breeding with your computational skills. You are also an enthusiastic team player, with well-developed communication and collaboration skills.

You also possess:

• a successfully completed MSc degree in plant sciences, plant biotechnology, bioinformatics, or a related discipline;
• knowledge of plant breeding and genetics;
• experience in the analysis of (gen)omics data using command-line tools;
• a demonstrable proficiency in programming (in R and Python);
• perseverance in problem solving;
• good writing and oral communication skills in English.

For more information about this position, please contact dr. Guusje Bonnema, by phone +31 317 484028 or e-mail [email protected] , or dr. Sandra Smit, by e-email [email protected].

For more information about the procedure, please contact Dax Teunissen, corporate recruiter (+31 317 487820, [email protected] ).

This vacancy will be listed up to and including May 13, 2024. We hope to schedule the first job interviews in the week of May 27.

Posted on April 20, 2024

PhD position in AI for biomedical data analysis

PhD position (all genders) in AI for biomedical data analysis Part time  | Temporary | Arbeitsort: Hamburg-Eppendorf

UKE_Zentrum für Molekulare Neurobiologie (ZMNH)

Better together. For life.

We are the University Medical Center Hamburg-Eppendorf (UKE) - and we stand for excellent competence in research, teaching and comprehensive healthcare in our clinics. Every day, our approximately 14,900 employees strive anew to make the world a little healthier with their contribution.

It is our aspiration to be one of the leading university hospitals - and at the same time the best employer in our industry. At UKE, for example, we firmly believe that successful and fulfilling work should be in harmony with employees' personal needs and individual lifestyles. And as diverse as these are, so is our range of individual solutions.

You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine learning engineers.

Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient data, in conjunction with graph, transformer, and diffusion models, you will help us understand and treat immune-related maladies. Together with clinical disease experts, you will translate your findings into targeted applications.

• Master’s degree in computer science, bioinformatics or related fields
• Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV)
• Proficiency in Python, Linux and HPC environments
• Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students
• Knowledge of biology and medicine is a plus
• Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine
• Strong English language skills to communicate and collaborate in our diverse work environment

We look forward to receiving your complete appli­cation by 22 nd April 2024.

Contact to the department Prof. Dr. Stefan Bonn [email protected]

PhD student in Bioinformatics

SciLifeLab ( SciLifeLab ) is a national center for molecular biosciences with a focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities.

The employment will be placed at the Department of biochemistry and biophysics, at Stockholm university.

Project description Your studies in Bioinformatics will be in the project: "Deep Learning for protein structure prediction”.

Protein structure is essential for understanding their function and developing drugs targeting proteins. Recently, a deep learning method that can predict the structure of most proteins was made freely available and released a database with predicted protein structures. However, proteins do not act alone - they work together with other proteins. Therefore, the next major challenge is using these methods for predicting protein-protein interactions. Our initial studies have shown that it is possible to predict accurate structures of a large part of dimeric proteins using either a modified version of AlphaFold2 or AlphaFold-multimer.

Qualification requirements In order to meet  the general entry requirements , the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

In order to meet the specific entry requirements , for acceptance in the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis).

Contact For more information, please contact the project leader, Professor Arne Elofsson, [email protected] .

Closing date: 23/04/2024

PhD student in Pollinator Genomics

The Department of Zoology is one of the departments at the Faculty of Science with about 50 employees and 40 students, with research topics in Ecology, Ethology, Functional Morphology, Systematics and Evolution, and Population Genetics. The Centre for Palaeogenetics is a research centre jointly funded by Stockholm University and the Swedish Museum of Natural History

Project description The Department of Zoology invites applications for a four-year PhD position based at the Centre for Palaeogenetics in Stockholm. The project is aimed at investigating temporal patterns of population structure and genomic diversity in pollinating insect populations. The analyses will use state-of-the-art genomic and palaeogenomic methods with focus on recovering DNA from museum specimens collected throughout the last 200 years. This will be a conservation genomics project part of a research programme funded by the Swedish Research Council and focused on investigating the genomic effects of population decline in insect pollinators. The PhD student will join the research group led by David Díez-del-Molino (see www.palaeogenetics.com ) at the Centre for Palaeogenetics located on the Stockholm University campus.

Qualification requirements In order to meet the general entry requirements , the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

In order to meet the specific entry requirements , the general syllabus for doctoral studies in the field of Population Genetics stipulates that applicants must have completed at least 120 higher education credits in biology, and at least 30 credits from a degree project within population genetics, molecular systematics, evolutionary biology, ecology, bioinformatics or a similar subject.

Contact For more information, please contact David Díez-del-Molino, [email protected] or [email protected]

Closing date: 30/04/2024

PhD student in Molecular Biophysics

Are you interested in working with powerful new single-molecule imaging approaches to unravel fundamental principles of genome organization, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD position at Uppsala University.

The Department of Cell and Molecular Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The scientific basis of what we do lies in biology, but our research overlaps with other areas such as medicine, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://icm.uu.se .

The Deindl lab offers a stimulating multidisciplinary environment where you will work closely with experts in biophysics, biochemistry, structural and molecular biology. Our overall mission is to investigate the molecular mechanisms underlying genome-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and biochemical techniques. For more information about the research in the Deindl laboratory, please visit http://www.deindl-lab.com/ .

Requirements To meet the entry requirements for doctoral studies, you must

• hold a Master’s (second-cycle) degree in physics, biophysics, biochemistry or similar, or
• have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
• have acquired substantially equivalent knowledge in some other way.

We are looking for a highly motivated candidate with a master's degree or equivalent proficiency in physics, biophysics, biochemistry or similar. Excellent knowledge of English is a prerequisite, as the position is located in an international environment. We value personal characteristics such as good co-operative ability, a self-motivated personality, and a keen interest in basic research and in addressing fundamental biological questions with quantitative approaches.

Please submit your application by 3 May 2024, UFV-PA 2024/1166

Posted on April 05, 2024

PhD position bioinformatics and immunogenomics

The overall project aim is to identify infectious disease (ID) triggers that can potentially cause immune-related noncommunicable diseases (IR-NCDs) like inflammatory bowel disease, multiple sclerosis, rheumatoid arthritis and post-COVID-19-condition. In this project, we aim to 1) identify IDs triggering IR-NCDs by screening for antibody responses against >500,000 ID antigens from infections, microbiome and environment, and 2) to disentangle environmental and genetic factors affecting the transition from IDs to IR-NCDs. We will combine novel multi-omics approaches and technologies for personalized genotyping of HLA and adaptive immune receptor genes to deeply profile samples of patients at time of diagnosis as well as before diagnosis. This project will represent the largest and most deeply profiled systematic study of multiple IR-NCDs in a large population cohort Lifelines. The analysis of antibodies will take into account other multi-omics measurements available for participants, such as genetics and gut microbiome. The project is part of EU-funded grant Dark Matter, and will be performed in UMCG in collaboration with partners from Austria, Germany, Hungary and other countries.

The candidate will work on the generation and analysis of wide-scale antibodies data in pre- and post-disease samples from individuals with several non-communicable diseases (such as rheumatoid arthritis, chronic fatigue and post-COVID19), who are part of Lifelines population cohort. The antibodies profile will be linked with host environment, genetics and microbiome data. The work will be performed in close collaboration with colleagues from Groningen Microbiome Hub

Required Expertise - Master’s degree with a focus on bioinformatics expertise .. - A collaborative spirit to work effectively within an international interdisciplinary team and with clinical partners - Excellent organizational skills to manage complex workflows and data collection processes - Strong communication skills, both written and verbal, with the capability to present research findings to both a specialist and non-specialist audience - Team player with excellent communication and collaborative skills Additional experience in the following areas is highly desirable - Experience handling large databases - Knowledge of developing and debugging in Java/Python/R. - Knowledge of immunology

The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) ( www.lit.eu ) is a biomedical research center focusing on translational immunology in the fields of cancer immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop innovative and efficient cellular immune therapeutics in these areas. Our own GMP laboratories and close networking with University and University Hospital offer excellent opportunities for clinical translation of novel immune cell products.

The Algorithmic Bioinformatics research group is a purely computational lab developing and investigating new algorithms for solving bioinformatics problems on genome sequencing data. The problems we address include read alignment, variant detection & genotyping, genome assembly, whole-genome alignment and more in the context of human and population genetics, immunology, cancer and other biomedical research areas.

Requirements:

• Master’s degree in bioinformatics, computer science, or a related field
• Creative mind that is eager to shape the project and who wants to make an important biomedical impact through computational research
• Good programming skills, preferably in C++ and Python
• Good understanding of sequence analysis algorithms and data structures would be an advantage
• Hands-on experience in high-throughput sequencing data analysis is a plus
• Excellent oral and written communication skills in English
• An international cutting-edge research environment that offers exciting and diverse opportunities
• Perspectives for further scientific qualification
• Possibility to visit international conferences and collaborating centers
• Flexible working hours
• Flat hierarchies and short decision-making processes
• A highly motivated and cooperative team

For more information, please contact Birte Kehr ( birte.kehr(at)ukr.de ). We are looking forward to receiving your application including a cover letter, CV, and certificates. Please apply via our homepage https://rci.hr4you.org/job/view/55  quoting the reference BK-2024-1. The application deadline is April 7th, 2024.

Posted on April 02, 2024

PhD student on Graph Algorithms with Applications in Bioinformatics

There is an opening for a 4-year PhD position between Centrum Wiskunde & Informatica (CWI) a nd VU Amsterdam. We are looking for a motivated PhD student with a special interest in algorithms and data structures and their application in bioinformatics. The joint project will be supervised by Yasamin Nazari (VU) and Solon Pissis and Daniel Dadush (CWI).

Job description

Genomes are strings containing four characters {A, C, G, T} which encode the DNA and the genetic information of an organism. Computational genomics studies algorithms that can efficiently process such strings. The human genome project effort led to a single genome sequence representing the genome information of human DNA. While the vast majority of genome information is similar for all humans, the small individual differences can still offer important insights.

Recently, there has been a growing interest in pangenomics, where the goal is to process genome information coming from a huge sample of the population. Pangenomic data is often modeled by a graph that captures interaction between different samples. This has motivated the move from string algorithms to graph algorithms. However handling pangenomic graphs is computationally more expensive than single genomes. Even processing a single genome involves many computational challenges, and a wide range of algorithmic solutions have made such tasks possible. This project aims to develop efficient algorithms for processing pangenomic graphs as well as designing pangenomic graphs that “best fit” a given data set. This also involves graph algorithms in different computational paradigms such as dynamic, distributed or parallel models, as well the use of optimization techniques to design pangenomic graphs.

Requirements

Candidates are expected to obtain a Master’s degree in Computer Science, Mathematics or a related discipline before starting the position. Expected qualifications include mathematical maturity, and familiarity with algorithms and discrete mathematics. Prior knowledge of bioinformatics is not required. Candidates are expected to have an excellent command of English.

 PhD student in Bioinformatics

Project description Your studies in Bioinformatics will be in the project: " Gene Regulatory Network Inference and Systems Biology ”.

The goal of this project is to develop computational algorithms and methods that use omics data to infer gene regulatory networks (GRNs), and apply these to understand regulatory mechanisms that lead to cancer formation. Cancer cells are subjected to scRNA-seq to measure the transcriptomic response of gene knockdown perturbations via CRISPR interference on a large scale. The Sonnhammer group has recently shown that such data data offers a significant improvement in GRN quality compared to non-perturbed data. The project involves developing and applying computational methods that can work optimally with this new type of data, either by adapting and optimizing existing methods, or designing new methods based on deep learning neural networks and variational autoencoders. Also new methods for quality assessment need to be developed.  The resulting predicted regulatory mechanisms will be forwarded for evaluating their clinical relevance.

Contact For more information, please contact the project leader, Professor Erik Sonnhammer, [email protected] .

Closing date: 23 April 2024.

Posted on April 01, 2024

9 Funded PhD fellowships in European Doctoral Network TAME

The neuronal tau protein is associated with tauopathies, most notably Alzheimer’s disease. Tauopathies are characterised by intraneuronal aggregation of tau protein into filaments causing neurofibrillary degeneration and synaptic dysfunction, which lead to dementia.

There is an urgent need to provide society with better diagnostics and disease-modifying treatments for these diseases. It is to meet this urgent need that TAME (TAuimMunE), Europe’s first Tau network, has been created. To this end, TAME‘s research and training activity goals are to improve and protect the health and well-being of citizens of all ages by generating new knowledge, developing innovative solutions and integrating, where relevant, a gender perspective to diagnose, monitor and treat diseases, in order to make public health systems more cost-effective and sustainable.

The TAME network expands the scope of research collaboration geographically connecting 9 beneficiaries in 7 European countries and 7 associated partners, across tauopathies and across disciplines. We have teamed-up to combine molecular and cellular neuroscience with computing, chemical and bio-engineering and their technology expertise between academia (7 beneficiaries) and industry (2 beneficiaries). Each beneficiary is recruiting a doctoral candidate.

We are looking for talented, highly-motivated experimentally skilled young scientists with Master degrees or equivalent in disciplines related to Life or Medical Sciences : (Bio)Chemistry, Neurosciences, Applied Mathematics or Machine learning, Molecular Biology, Genetics, Cell Biology. Candidates are in the first four years of their research careers and not yet awarded with a doctoral degree. We are committed to equal opportunity recruitments. TAME is dedicated to promoting the role of women in science, and, therefore, explicitly invites women to apply.

Join us to contribute to a better understanding of tau-related diseases and supports the development of new, safer, personalised and more effective diagnosis and interventions for Alzheimer’s disease and the less common tauopathies.

Closing date 9 Mar 2024

PhD Scholarship in Pathogen Genomics

Applications are invited from suitably qualified candidates for a full-time funded PhD scholarship starting in September 2024, affiliated to the Discipline of Bioinformatics, School of Mathematical and Statistical Sciences, at the University of Galway.

University of Galway

Located in the vibrant cultural city of Galway in the west of Ireland, the University of Galway has a distinguished reputation for teaching and research excellence

Since the onset of the COVID-19 pandemic, the benefits of whole-genome sequencing for pathogen research, and for understanding infectious disease transmission and evolution in a public health context, have been brought into sharp relief. Large datasets of pathogen genomes have been and continue to be published, offering substantial opportunity for new biological insights to be obtained through their (re-)analysis.

We wish to recruit a student with keen interests in infectious disease, in using “big data” computational population genomics approaches, and in maximising the utility of genomics to study bacterial pathogens of national and international importance. The project will study the genomics of aetiological agents of enteric and diarrhoeal disease – as well as antimicrobial resistant Gram-negative bacteria – of public health significance in Ireland and overseas.

Based in the School of Mathematical and Statistical Sciences, and with primary supervision from Dr. Matthew Dorman , the student will benefit from an environment with strong expertise in quantitative data analysis. There will be scope to work with colleagues affiliated to the Discipline of Bacteriology (School of Medicine, University of Galway) and Galway University Hospital. The student will join Dr. Dorman’s newly-established group while it is in a phase of growth, and will have opportunities to contribute to shaping the team’s research direction as it matures. The student will also benefit from opportunities to interact with an international network of collaborators and contacts in acadaemia and public health.

Contact Name: Dr Matthew Dorman

Contact Email: [email protected]

Posted on Feb, 29, 2024

PhD Research Fellow in marine food webs and metagenomics

The World Health Organization (WHO) lists antibiotic/antimicrobial resistance (AMR) among top 10 threats for global health. AMR threatens human and animal health and welfare, the environment, food security, economic development, and equity within societies. This RCN funded projects overarching goal, is to generate new knowledge about measures that help us to understand, handle and prevent the development of antimicrobial resistance (AMR) from a One Health perspective.

About the position

PhD Research Fellow in marine food webs and metagenomics available within the Center of Biogeochemistry in the Anthropocene , University of Oslo.

The fellowship period is 3 years. Starting date no later than 2024-06-01.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Required qualification:

• Master’s degree or equivalent in biology, ecology, genetics or marine biology
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Fluent oral and written communication skills in English
• Experience with R, Python and bash programming

Desired qualification:

• Field experience including handling and identification of marine animals, marine fish and crustations
• Knowledge of laboratory work ideally with experience in DNA extraction, quantification and library preparation
• Experience with stable isotope techniques (in particular compound specific stable isotope analysis) is an advantage
• Experience with experimental design and application of diverse statistics
• Experience with bioinformatics in particular handling of large sequencing datasets

Contact information

For further information about the position please contact: Professor Alexander Eiler, phone: +47 46501671, e-mail: [email protected] or Odd-Gunnar Wikmark, phone: +47 46807320, e-mail: [email protected]

For questions regarding Jobbnorge, please contact HR Adviser Nina Holltan, +47 228 54424, e-mail: [email protected]

Deadline 19th March 2024

PhD position: In vivo gene editing and functional genomics

The Laboratory for Biological Engineering (Prof. Randall J Platt) of the ETH Zurich in Basel, Switzerland develops genome engineering technologies and applies them to a range of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply in vivo functional genomic methods.

Project background

Investigating gene function using direct in vivo screening is revolutionising the way we study brain biology . We have previously developed AAV-based molecular methods for direct in vivo CRISPR screening and are continuing to develop novel tools to be able to interrogate new aspects of brain biology.

We are looking for a highly motivated and collaborative researcher to be integrated in a multidisciplinary team of scientists. The candidate will develop novel molecular methods and apply them to ask fundamental questions about brain development and function in the context of health and disease. The candidate will be passionate about science, technology, collaboration, and communication.

The ideal candidate should have a Master’s degree or equivalent in Biology, Neurobiology, Molecular Biotechnology, Molecular Medicine, or a related field. The successful candidate will have experience across several of the following areas:

• cloning, molecular biology techniques and synthetic biology
• virus production and/or evolution and delivery (AAV, LV)
• in vivo interrogation of mouse models, including histological techniques, imaging and quantification
• primary cell isolation, cell culture, and flow cytometry
• preparation of deep sequencing libraries for functional genomics experiments
• bioinformatics, statistics, and programming

Application submission deadline: 18th March 2024

Posted on Feb 24, 2024

PhD fellowship in Bioinformatics

A PhD fellowship is available in the Computational Biology and Bioinformatics research group (https://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (http://rth.dk) at Department of Veterinary and Animal Sciences ( https://ivh.ku.dk/english ), Faculty of Health and Medical Sciences at University of Copenhagen. Anti-microbial resistance (AMR) is a fast-increasing challenge for human health. The project is a part of the large PIG-PARADIGM consortium ( https://pig-paradigm.net/ ), funded by the Novo Nordic Foundation, has the overall goal to prevent spreading of AMR by reducing antibiotic use in pig-production.

The Computational Biology and Bioinformatics research group holds a long-standing interest in Computational RNA biology and transcriptomics but works in general on many different topics covering computational, algorithmic and biological aspects. The group holds a long interest in RNA structure, RNA interactions and transcriptome analysis, which over the years have evolved in different directions from gene network analysis and CRISPR.

Project description

The PhD project concerns how commensal and pathogenic microbiota modulate host signaling in the intestine and aims to elucidate fundamental aspects of disease progression. Within the gut microbiome component, the project will identify microbial species, microbial gene functions, and gene clusters through DNA sequencing by PIG-PARADIGM consortium partners. Combined with tissue/fecal metabolomics, this will lead to microbial species/gene interaction networks and pathways.

Key criteria for the assessment of applicants       Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project such as Bioinformatics, Systems Biology, Computer Science or similar areas. Most importantly that you meet the technical requirements in bullet #2 below. Please note that your master’s degree must be equivalent to a Danish master’s degree (two years).

Other important criteria are:

• The grade point average achieved
• A solid knowledge of network biology
• Knowledge of Machine and Deep learning algorithms
• Python and knowledge of C/C++, shell scripting and Unix/Linux operating system

Application deadline: February 26, 2024, 23.59pm CET (extended from February 12 2024)

PhD student in Evolutionary Genomics

he Department of Ecology and Genetics (IEG) is an international environment with staff and students from all over the world. Our research spans from evolutionary ecology and genetics to ecosystem studies. Learn more at www.ieg.uu.se .

A PhD student position in evolutionary genomics, with specific focus on biology and evolution of lichen photobionts is now available within the Evolutionary Biology Program at IEG.

Lichens, symbiotic organisms composed of fungi, photobionts (algal partners), and bacteria, play crucial roles, particularly in cold environments, contributing significantly to biogeochemical cycles and trophic interactions. Recent scientific evidence suggests that lichen photobionts play decisive roles in lichen adaptation to different environments, yet the mechanisms behind this are poorly understood.

Duties The selected candidate will be responsible for performing molecular laboratory work, including DNA/RNA extraction, quantitative PCR, library preparation, and sequencing using short and long read sequencing technologies. Additionally, the PhD-student will be tasked with growing and maintaining Trebouxia axenic cultures, conducting experimental evolution studies on cultures, analyzing different types of ‘omics’ data, and utilizing microscopy techniques to describe the morphological characteristics of identified Trebouxia species.

Qualifications required To meet the entry requirements for doctoral studies, you must

• hold a Master’s (second-cycle) degree in Evolutionary Biology, Systematic Biology, Population Genomics, or a related field
• have completed at least 240 credits in higher education with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or

Please submit your application by 18 Mars 2024, UFV-PA 2024/510.

Doctoral (PhD) student in Data-driven imaging and Bioinformatics

The Department of Molecular Medicine and Surgery (MMK) and the research group of Vascular Surgery is looking for a curious and highly motivated Ph.D. student to join Prof. Ulf Hedin, Dr. David Marlevi, and Dr. Melody Chemaly to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of advanced image processing, dedicated bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of vascular surgery, biology, and imaging, you will join a diverse research team focused on atherosclerotic plaque instability based on data from the Biobank of Karolinska Endarterectomies (BiKE): the world’s largest resource for molecular studies on carotid atherosclerosis, offering unprecedented opportunities for both scientific and clinical impact.

The overall goal of the proposed project is to investigate clinical, diagnostic, and molecular features of tissue hypoxia, angiogenesis and intraplaque haemorrhage (IPH) in relation to stroke risk, seeking to improve on current paradigms for clinical risk predictions and individualize diagnostic precision. Improving atherosclerotic risk prediction has been a primary focus of our team’s efforts over the last couple of decades, seeking insights into pathways steering plaque instability, as well as identifying novel biomarkers improving on clinical routine.

We are looking for a highly motivated, independent, and analytical person, with:

• A degree or the equivalent in scientific data analysis, data science and machine learning , biomedicine or bioinformatics
• Skills in bioinformatics (Python, R or others) and biostatistics (SPSS, STATA etc.)
• Specific knowledge of big data analysis, quantitative medical image analysis, or application of data-driven methods for clinical application purposes in general and vascular applications in particular is advantageous, but not required.
• Experience from experimental cellular or vascular biology is meritorious, but not required.
• Previous experience with scientific data analysis is advantageous, with involvement in previous scientific publications meritorious.

Eligibility requirements for doctoral education

In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.

It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.

A) General eligibility requirement

• have acquired substantially equivalent knowledge in some other way in Sweden or abroad..

B) Specific eligibility requirement

You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:

- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.

Reference number STÖD 2-647/2024

Last application date 07.Mar.2024 11:59 PM CET

PhD Candidate in Epigenetics & Gene Regulation

Epigenetic regulation of cell identity is essential for cell functionality and tissue homeostasis. Understanding the dynamics of epigenetic programming holds significant impact for deciphering the complexities of disease and developmental processes. If you share our fascination for this captivating process, join our team and embark on this exciting journey together!

Within this project we aim to unravel the gene regulatory mechanisms of a newly identified chromatin bound protein that acts as a dynamic switch between opposite epigenetic histone marks H3K27me3 (repressive) and H3K79me2 (activating). We will assess this both in human cancer cell lines and mouse developmental models (mouse embryonic stem cells and gastruloids).

The project, led by Dr. Rutger Gjaltema, is embedded in the Molecular & Cellular Epigenetics (MCE) group at the Swammerdam Institute for Life Sciences (SILS) and in close collaboration with Dr. Thijs van Boxtel (Developmental, Stem Cell and Cancer Biology Group, SILS).

Tasks and responsibilities:  •    complete a PhD thesis within 4 years; •    be an active member of our research group and take responsibility for shared tasks; •    maintain an open and organized work environment; •    keep accurate records of experiments and data by thorough documentation; •    stay up to date with latest literature and technological developments; •    present your results at (inter)national scientific meetings; •    assist in teaching and supervising Bachelor and Master students; •    take a leading role in writing and publishing manuscripts.

What do you offer? 

You are a person that has: •    a MSc degree in Molecular biology or Biomedical Sciences; •    drive and passion for epigenetic/chromatin research •    preferential experience with molecular cloning, CRISPR/Cas9 genome editing,

ChIP-seq/CUT&Tag/ATAC-seq, qRT-PCR, NGS library preparation, and (mESC) cell culture; •    interest to perform bioinformatic analyses in R and bash; •    talent for setting up and developing new molecular tools and techniques; •    intrinsic motivation to keep learning and improving; •    fluent capabilities in English, both written and spoken.

Do you have questions about this vacancy? Or do you want to know more about our organisation?

Please contact: Dr. Rutger Gjaltema, email [email protected]

PhD position in Population Genetics

The Vienna Graduate School of Population Genetics is an interdisciplinary and interinstitutional PhD program in evolutionary and population genetics. We provide an integrated program of training opportunities to prepare students for a career in population genetics on an internationally competitive level.

We encourage young, enthusiastic students intrigued by the interdisciplinary nature of the Vienna Graduate School of Population Genetics to apply for the program within the application deadline. Our students show a high level of dedication and activity and integrate into an international team with English as the working language.

We welcome candidates with backgrounds in either theoretical, computational or experimental fields such as bioinformatics, biomathematics, statistics, evolutionary genetics, functional genetics, theoretical and experimental population genetics. Applicants with a genuine interest for interdisciplinary research in evolution will be preferred.

Applicants are requested to email the following information as a single pdf document to the program coordinator :

• application form with indication of two preferred topics
• a motivation letter with a statement of research interests
• university certificates including grades. Please enclose a copy of your university degree that enables you to pursue a PhD study (diploma, master; credit hours need to be equivalent to 300 ECTS); if you will earn your degree after the deadline: please supply recent transcripts
• at least two reference letters assessing your scientific qualifications need to be e-mailed directly to us (please contact your referees proactively and use the referee request below as a guideline). Please consider that your referees may need some time to prepare and send their letters within the deadline!

Posted on February, 2024

PhD position in Bioinformatics and Artificial Intelligence

Information about the department The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience in all aspects of higher education.  More information about us can be found on our website: http://www.chalmers.se/math/

About the position One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in biological networks, and modeling of evolution. The primary applications will be related to antibiotic resistance and bacterial genomics.

Major responsibilities You will be enrolled in a graduate program in Applied Mathematics or Bioscience depending on your background. You will also be part of the CARe – the Centre for Antibiotic Resistance Research in Gothenburg, an interdisciplinary excellence center connecting multiple universities and hospitals in the region. As a Ph.D. student, you are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20 % departmental work, mostly teaching duties.

Qualifications Candidates for this position must have obtained an M.Sc. degree in bioinformatics, mathematical statistics, mathematics, computer science, physics, molecular biology, or any equivalent topic (obtained latest September 1, 2024). Previous experience in analysis of large-scale biological data is desirable. Candidates should also have good computing and programming skills (e.g. Python and R), experience in the Linux/UNIX computer environment, and, preferably, previous experience in working with machine learning and/or artificial intelligence. Good presentation and communication skills in oral and written English are also required.

Application deadline: 2024-02-19

For questions, please contact: Irina Pettersson, [email protected]

Erik Kristiansson, [email protected]

The CeMM International PhD Program in Molecular Technologies and Systems Medicine

The CeMM PhD program focuses on the thematic areas of infection, immunity, metabolism, cancer, rare diseases, network medicine, design chemistry, patient-derived organoids and aging research. These areas are built on the pillars of epigenetics and genome integrity, bioinformatics and systems biology, high-throughput genetics, genomics and proteomics, molecular and cell biology, high content automatic imaging, chemical biology, and organic chemical synthesis.

Our goal is to enable and empower students with the ability to successfully design, execute, manage and explain a research project in modern molecular medicine, through a strongly participatory and interactive program. The program is conceptualized in three ‘modes’: collect, connect and contribute. These will guide you through scientific excellence in data generation and validation to responsible and professional scientific citizenship.

Eligibility

To be eligible to enroll in the CeMM PhD program all candidates are required to have a Bachelor’s or Master’s degree in medicine, biology, chemistry, bioinformatics, mathematics or any scientific/technical, subject-relevant degree.

Candidates applying with a Bachelor's degree must have completed a four year course and need to demonstrate that they have acquired a significant amount of research experience. In addition they must achieve a first class honors or a 2:1.

Candidates do not need to have completed their degree at the time of application, however they should obtain their final degree certificate by the end of September.

The working language at CeMM is English, so excellent written and oral communication skills in English are required.

Submission deadline : 23 January, 2024

PhD Studentship: Machine Learning Models for Zoonotic Disease Surveillance

In this PhD project you will join a team of scientists from the University of Surrey and the UK Animal and Plant Health Agency (APHA) to develop novel bioinformatic approaches to detect and predict a type of infectious diseases termed zoonotic disease that can be transmitted between species, from animals to humans (and vice-versa).

The aim of the project is to integrate DNA sequence from samples routinely collected by the APHA with laboratory experimental data to detect with high accuracy the pathogen strain and predict their preferred animal host(s), and as such help the government to delineate strategies to prevent and control infectious disease outbreaks.

Together with our team of collaborators, you will develop novel computational methods to identify genetic signatures that predict phenotypic characteristics of pathogens such as strain, host reservoir, and host preferences. You will harness the power of the large APHA data bank of DNA sequences matched to pathogen phenotypes and outbreak characteristics to map at single nucleotide resolution the genetic makeup of pathogen outbreaks.

INTERVIEW DATE: 30 January 2024, 9am-12noon

Supervisors: Dr Alexessander Couto Alves,   Dr Jennifer Ritchie , Dr Mark Arnold and Dr Liljana Petrovska

Open to candidates who pay UK/home rate fees.  See UKCISA for further information . Starting in April 2024.

You will need to meet the minimum entry requirements for our PhD programme .

Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree, Masters Degree with Merit, or equivalent, in bioinformatics, data science, statistics, machine learning, artificial intelligence, computer science, mathematics, physics, biology, or a closely related life, environmental or physical science. The project will involve analysis of large data sets and some familiarity with programming, especially R or Python would be required. We will also consider candidates with different academic paths but with experience acquired from a research position, or equivalent, that is relevant to the topic of the PhD project.

Applications should be submitted via the Biosciences and Medicine PhD programme page.

Posted on December, 2023

An extensive resource for Bioinformatics, Epigenomics, Genomics and Metagenomics

PhD in Bioinformatics

Bioinformatics seeks to make sense of biological processes on all scales, from the molecular level to full ecosystems, using powerful and efficient computational techniques.

Technological advances have led to an explosion in the amount of biological information available to scientific communities, governments, and industry. The challenge now is how to organize, visualize, and interpret this vast amount of information.

The PhD in Bioinformatics program is research-based and aims to develop students who are experts in bioinformatics and who contribute to current research. This program provides students with the opportunity to develop world-class research and communication skills in bioinformatics for careers in academia, industry, or government.

Degree Details

The PhD program typically takes 12 semesters. Students are required to complete at least one course, pass a qualifying exam, and write and successfully defend a thesis. Applicants identify an advisor prior to admission into the program, and research is conducted under the advisor’s supervision.

A minimum of 1.0 credit is required, which must include BINF*6500 PhD Research Writing in Bioinformatics. The program committee and the advisory committee may, and usually will, require additional courses. After the prescribed course work is satisfactorily completed, a qualifying examination is taken. Finally, the submission and successful defence of an appropriate thesis on an approved topic completes the requirements for the PhD in Bioinformatics.

in life sciences

for faculty and graduate students

Interdisciplinary Program

Our interdisciplinary program aims to provide students with broad research and experiential opportunities to help meet their career goals. Over 50 researchers in funded laboratories in departments across campus are actively engaged in the bioinformatics graduate programs, thus providing students with opportunities to conduct cutting-edge and impactful research in a wide range of fields.

All students have graduate advisory committees comprised of faculty in both life sciences and computational sciences to ensure that students have integrative and multidisciplinary research experiences.

The PhD in Bioinformatics program is run by four colleges at the University of Guelph: the College of Biological Science, College of Engineering and Physical Sciences, Ontario Agricultural College, and Ontario Veterinary College.

Meet Some of Our Faculty

Admission Details

Admission requirements.

Students entering the PhD program will have completed a Master of Bioinformatics (M.Binf.), an M.Sc. in Bioinformatics, or a master's in a related discipline with a minimum average of A- (80% and higher). Applicants without a master's degree (i.e., direct entry) will be reviewed on a case-by-case basis by the Bioinformatics graduate program committee. It is recommended that applicants with a master’s degree contact the Bioinformatics graduate coordinator before submitting an application to the university.

PhD applicants must indicate an agreed advisor at the time of application. Prospective students interested in the PhD program should commence discussions with faculty well in advance of applying. Offers of admission will only be issued in cases where a member of Bioinformatics Graduate Faculty has agreed to be the advisor.

Application Process

Students must apply for the PhD program through the Office of Graduate and Postdoctoral Studies at the University of Guelph . Interested candidates are encouraged to apply at least four months prior to the intended start date (six to eight months prior for international applicants).

All applicants should include a statement of research intent with their application.

Please note that once an application is submitted for a specific program,  it cannot be switched to one of the other programs . The applicant will have to re-apply to the other program and therefore pay the application fee again. Thus, it is important to ensure that the correct program was selected.

PhD applicants  must  indicate an agreed advisor at the time of application. Prospective students interested in the PhD program should commence discussions with faculty well in advance of applying. Offers of admission will only be issued in cases where a member of Bioinformatics Graduate Faculty has agreed to be the advisor.

If your first language is not English, you will be required to submit the results of a standardized language test. For applicants who speak English as a second or additional language, you may request consideration for a waiver of the English language requirement once you have submitted your application if you have successfully completed a Bachelor's or Master's university degree in English from Canada, Australia, New Zealand, the United States, and/or the United Kingdom. Please email [email protected] for more information. In all other situations, an English proficiency test score is required with your application.

Apply through the Office of Graduate and Postdoctoral Studies at the University of Guelph.

Finding a PhD Supervisor

Having an established supervisor is required for admission into the PhD in Bioinformatics program. Visit Before You Apply for helpful advice on identifying and reaching out to faculty members. Before contacting members of our graduate faculty, please review some of our suggested tips below to optimize the success of your communication: 

• Be informed:  Ensure you review the research areas of our graduate faculty before contacting them. Take some time to review their information, publications, and the specifics of the faculty member’s research by browsing their departmental webpage and research group website (if available). 
• Use concise, targeted communication:  Graduate faculty supervisors receive numerous emails from prospective graduate students on a daily basis. Therefore, as most faculty members have very limited time, you must communicate your information as clearly and concisely as possible. Use short paragraphs, keep the length of your email to a minimum, use a descriptive email title and be professional. 
• Stand out from the crowd:  Highlight specific and clear reasons why you would be a good candidate for working with the chosen faculty member. Include information that will set you apart from other candidates such as notable achievements/scholarships, publications, similar research interests and/or related experience. 
• Communicate early:  Start contacting faculty members at least nine to 12 months in advance of the application deadlines. This is especially important for international applicants to ensure you have sufficient time to apply for a study permit/visa. Finding a supervisor can sometimes take months to establish. 
• Be patient:  Our graduate faculty members are very busy, especially during the start and end of the semester. Therefore, it may take some faculty members days or even weeks to respond to your email. Follow up if it has been a couple of weeks with no response.

A funding package is offered to thesis-based graduate students with their offer letter, which may vary by home department (i.e., the department of the primary supervisor). The package may consist of Graduate Teaching Assistantships (GTA) and Graduate Research Assistantships (GRA). You are required to contact prospective advisors to discuss the availability of projects prior to applying to thesis-based programs, and we suggest you also discuss the availability of GRA funding or prospects for applying for suitable scholarships. Please note that offers of admission will only be issued in cases where a member of the Bioinformatics Graduate Faculty has agreed to be the supervisor.

Scholarships and bursaries are available from the university, which can be searched for here . For some scholarships and bursaries, you are automatically considered and do not need to apply. Other scholarships and bursaries require a separate application. Please read over the description for each one you are interested in.

The Ontario Graduate Scholarship (OGS) is provided by the Government of Ontario, and the Government of Canada's  Natural Sciences and Engineering Research Council (NSERC)  offers a number of scholarships. These scholarships require a separate application, typically due in the fall for the following academic year. You are encouraged to speak to potential supervisors regarding these government-sponsored scholarships.

International students are encouraged to read about the University of Guelph's International Doctoral Tuition Scholarship . Admitted international students who meet all eligibility criteria will receive the scholarship automatically.

Program Fees

For information about tuition and fees for the PhD in Bioinformatics program, please see the Cost of Tuition/Living webpage .

A detailed breakdown of semester fees can be found on the Student Financial Services website .

I have some general questions about the application process for graduate programs at the University of Guelph. Is there a place where can I find some answers?

Many of your questions have undoubtedly been asked by other students. Please visit the Graduate and Postdoctoral Studies: Frequently Asked Questions website.

I completed my previous degree(s) outside of Canada. How do I determine my eligibility and my approximate Ontario-equivalent GPA from those studies?

Please look at the International Credential Guidelines and select the country your previous degree was in to determine information regarding eligibility and approximate GPA. Please note that your previous educational institution(s) must be accredited in order for your application to be considered.

I am an international applicant. Do I need to submit English proficiency test scores?

English proficiency test scores are not required for applicants whose first language is English. For applicants who speak English as a second or additional language, you may request consideration for a waiver of the English language requirement after you submit your application if you have successfully completed a Bachelor's or Master's university degree in English in Canada. In all other situations, an English proficiency test score is required with your application.

I am an international student. How do I apply for a study permit? Can I apply for a student permit with a conditional offer of admission?

Please use the official offer of admission that you received from the Office of Graduate Studies to apply for your study permit. You can apply for a study permit with a conditional offer of admission. You may contact the University of Guelph's International Student Advisors with questions about your transition to the University of Guelph.

I am an international student. Can I apply for a post-graduation work permit once I complete one of the programs?

Please contact the University of Guelph's International Student Advisors for information regarding post-graduation work permits.

I have been out of school for a while now. Can I use professional references instead of academic references?

Yes, if you have relevant work experience, you are welcome to use professional references instead of academic references. Remember that your references should be able to speak of your research potential and other skills relevant to the graduate program to which you are applying.

Is there an application deadline for the PhD program?

There is no application deadline for the program. However, applicants are required to have secured a faculty advisor prior to submitting an application to the University. Interested candidates are encouraged to apply at least four months prior to the intended start date (6-8 months prior for international applicants).

What documents do I need to submit for my PhD application?

The program requires your OUAC application, unofficial transcripts* and any relevant supporting documents, CV, statement of research intent, and two referee assessment forms with your application.

*Please do not upload Exam Marksheets; transcripts are required.

When can I start the PhD program?

Students can begin the program January 1, May 1, and September 1 each year. Please note that offers of admission will only be issued in cases where a member of Bioinformatics Graduate Faculty has agreed to be the advisor.

Will I be funded during my PhD degree?

Yes, students can expect to receive a stipend when enrolled in either the M.Sc. or PhD degree. The funding scheme for the student will depend on the department/college to which your faculty advisor belongs. For example, if the student’s faculty advisor is in the College of Biological Sciences, then the student’s funding scheme will abide by the rules of this college. See the Funding page for more details.

Will I have the opportunity to apply for graduate teaching assistantships (GTA) during my PhD degree?

Similar to the funding scheme, GTAs are handled according to the rules and regulations established in the department and college of your faculty advisor. Therefore, your ability to apply for GTAs will depend on the department and college to which your faculty advisor belongs.

Am I eligible for scholarships and awards?

There are a number of graduate awards available at the University of Guelph. For a complete list of these awards, please go to: Graduate Award Search . Please note that the application process will depend on the department and college to which your faculty advisor belongs. All students can apply for external scholarships managed by provincial and federal funding agencies (e.g., NSERC, CIHR, OGS, etc).

Do I have to take courses during my PhD program?

Yes, you will be required to take courses.

For the PhD program, students are required to take BINF*6500. This course is typically taken in the first year of graduate work and lasts two semesters. The student’s advisory committee may require that additional courses be taken.

Dr. Emily Berzitis, Bioinformatics Program Manager [email protected] 519-824-4120 x 56474

Dr. Steffen Graether, Graduate Program Coordinator [email protected] 519-824-4120 x 56457/54590

Dr. Jennifer Geddes-McAlister, Director [email protected]

Alternatively, use our A–Z index

Tackle the biggest challenges in biology, medicine and health in a world leading research environment, and prepare for your future career.

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PhD/MPhil Bioinformatics

Year of entry: 2025

• View full page

We require applicants to hold, or be about to obtain, an Upper Second class Honours degree, or the equivalent qualification gained outside the UK, in a related subject area for entry to a PhD programme. A Lower Second class Honours degree may be considered if applicants also hold a Master's degree with a Merit classification.

Full entry requirements

Apply online

Before applying you must:

• Choose a programme or find a project you want to apply for and check you’re eligible.
• Speak to the listed supervisor about your suitability for their project or programme.
• Understand how your project is funded and, if it is self-funded, consider how you plan on funding it.
• Read our ‘How to apply’ page to find out more and ensure you include all required supporting documents at the time of submission.

Visit our Faculty of Biology, Medicine and Health Postgraduate Research page to find out more.

Programme options

Programme overview

• Undertake research in a field you’re passionate about and join a project addressing leading challenges in the area while working with some of Europe's leading researchers and academics.
• Choose to research at a university ranked and 6th in the UK (QS World University Rankings, 2025) and 2nd in the world for social and environmental impact (THE Impact Rankings, 2024), where 93% of research activity is ‘world leading’ or ‘internationally excellent’ (Research Impact Framework, 2021)
• Access some of the best research facilities in the world at the University, through our industry partners, and at hospitals around Greater Manchester.
• Benefit from dedicated support throughout your PhD journey, from pre-application to graduation and everything in between, through our Doctoral Academy
• Undergo training in transferable skills critical to developing early-stage researchers and professionals through the Doctoral Academy's training programme and progress into a career in research, academia or industry.

Visit our Faculty of Biology, Medicine and Health Postgraduate Research page to find out about upcoming open days and events.

Fees for entry in 2025 have not yet been set. For reference, the fees for the academic year beginning September 2024 were as follows:

• PhD (full-time) UK students (per annum): Standard £4,786, Low £11,000, Medium £17,500, High £23,000 International, including EU, students (per annum): Standard £27,000, Low £28,500, Medium £34,500, High £40,500
• PhD (part-time) UK students (per annum): Standard £2393, Low £5,500, Medium £8,750, High £11,500 International, including EU, students (per annum): Standard £13,500, Low £14,250, Medium £17,250, High £20,250

Further information for EU students can be found on our dedicated EU page.

Contact details

Programmes in related subject areas.

Use the links below to view lists of programmes in related subject areas.

• Biosciences
• Informatics

Entry requirements

Academic entry qualification overview, english language.

For applicants whose first language is not English, or if you have not studied recently in the UK, you must provide evidence of how you meet the English Language requirement.

We mainly accept IELTS or TOEFL tests. Please note IELTS and TOEFL are only valid for two years.

We require a minimum IELTS score of 6.5 overall or TOEFL (iBT) 90. Each component of the English test should meet the minimum requirement of IELTS 5.5 in all components, TOEFL (iBT 22). For the  writing component , we expect you to have achieved a minimum of 6.0 (IELTS).

If your IELTS or TOEFL expires before the start of your programme, you will need to take another official English test before we can issue you with a CAS for your visa application. This is a requirement of UKVI.

For more information about English language tests see  English language requirements .

Please contact us at [email protected] for further information.

English language test validity

Other international entry requirements, application and selection, how to apply, advice to applicants.

Before you start your application, you should:

• Identify the programme or find the specific research project you'd like to apply for.
• Contact the listed project supervisor and speak to them about your suitability for the project.
• Understand how your project is funded or, if you are self-funding, you should have an idea of how you are funding your project and have discussed this with your supervisor.

If you already have funding:

• Find a specific self-funded project and contact the project supervisor to talk to them about your suitability for the project; OR
• Determine your own research project and title, find a potential supervisor in this research area and contact them to discuss supervising your research.

Supporting documents

You'll also need to make sure you have the following documents before you apply:

• Personal statement
• Certificates and transcripts
• Confirmation of funding (if you are self-funded)
• English language ability
• Names and details of two referees to support your application

Visit our ‘How to apply’ page to find out more about the information required for each of these supporting documents.

Any missing information may delay the processing of your application.

Application deadlines

You must submit your application for a postgraduate research programme before the relevant deadline to be considered. You will not be able to apply after these deadlines have passed.

• January entry: 15 October (of the year prior entry)
• April entry: 15 January (year of entry)
• September entry: 15 June (year of entry)

Interview requirements

Candidates will be required to attend an interview with their prospective supervisor as well as an independent Postgraduate Tutor. If it is not possible for you to attend in person, we are able to interview by Zoom/video conferencing.

Disclosure and Barring Service check

Programme details, programme description.

Our PhD/MPhil Bioinformatics programme enables you to undertake a research project that offers training in state-of-the-art computational approaches to study an aspect of biological and/or biomedical science.

Manchester is a leading centre for bioinformatics and computational biology, with one of the largest concentrations of academic groups in any UK higher education institute.

Biology is increasingly becoming a more digital science that generates large volumes of complex data, requiring allied informatics skills to process, analyse and store the information generated, leading to better interpretation of biological function, and potentially novel predictions. This can be used in both biology and clinical settings, for prediction of gene function in biological processes as well as in diagnostics and prognostics linked to disease.

This growth in the area has, in the main, been driven by the expansion of genomic and post-genomic technologies (e.g. next generation sequencing and allied 'omics) that generate high volumes of sequence and gene expression information, for example for the human 100,000 genomes project.

Incresingly, this can also involve spatial and temporal information such as imaging data, as well as recent developments in protein structure prediction. By integrating such data sources including evolutionary, environmental, text-mining and more, new understanding and discoveries can be made which place bioinformatics at the core of modern bioscience research.

We cover the full range of skills and expertise across an exciting portfolio of research topics, ranging from sequence analysis of nucleotides and proteins, through to integrated systems biology and mathematical modelling and machine learning.

We analyse data and generate tools linked to topics such as noncoding gene function, transcriptional networks, systems biology of cancer, antimicrobial resistance, protein folding and aggregation, quantitative proteomics and metabolomics in organisms ranging from viruses, microbes and model organisms to man. This often involves informatics approaches to help close the genotype-phenotype gap - i.e. why does varying at the genetic level lead to a particular change in phenotype, such as genetic disease. 

Bioinformatics postgraduate research students also often form part of highly collaborative and multidisciplinary teams tackling major problems in biomedical science, offering opportunities to work closely with experimental colleagues in a mutually supportive environment.

Special features

Training and development

All of our postgraduate researchers attend the Doctoral Academy Training Programme delivered by the Researcher Development team . The programme provides key transferable skills and equips our postgraduate researchers with the tools to progress beyond their research degree into influential positions within academia, industry and consultancy. The emphasis is on enhancing skills critical to developing early-stage researchers and professionals, whether they relate to effective communication, disseminating research findings and project management skills.

Teaching and learning

Applicants are specifically matched with a Primary Supervisor and individual project based on their research interests and background.

International applicants interested in this research area can also consider our PhD programme with integrated teaching certificate .

This unique programme will enable you to gain a Postgraduate Certificate in Teaching and Learning, whilst also carrying out independent research on your chosen project.

Scholarships and bursaries

Funded programmes and projects are promoted throughout the year. Funding is available through UK Research Councils, charities and industry. We also have other internal awards and scholarships for the most outstanding applicants from within the UK and overseas.

For more information on available the types of funding we have available, please visit the  funded programmes  and  funding opportunities  pages.

What our students say

Disability support, career opportunities.

Your postgraduate research degree will open up a range of career opportunities after you graduate. Find out more on the  Careers  page.

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Best Doctorates in Bioinformatics: Top PhD Programs, Career Paths, and Salaries

Acquiring a PhD in Bioinformatics allows you to enjoy a smooth career journey in this interdisciplinary field. A PhD makes you stand out as an expert in the field which helps you secure high-paying positions. The best PhDs in Bioinformatics degree programs at top private and public universities can help you become a leading professional in the field.

If you’re wondering how to begin pursuing a bioinformatics PhD, this guide will cover 10 of the best academic programs available, as well as the funding opportunities and admissions process of each. We’ll also explore exciting bioinformatics jobs and the top PhD in Bioinformatics salary opportunities that await graduates.

Find your bootcamp match

What is a phd in bioinformatics.

A PhD, or Doctor of Philosophy in Bioinformatics refers to an interdisciplinary, post-graduate program that integrates the real-world experience of research and applying computer technology to the analysis and management of biological data. PhD in Bioinformatics degrees teach students to organize data from multiple experiment databases, create new algorithms, and use software and mathematical modeling to interpret biological information.

Advanced bioinformatics PhD students gain the knowledge, computational skills, and scientific skills necessary to apply the latest technology to biological data. In addition, they leverage different techniques to find solutions to diseases.

How to Get Into a Bioinformatics PhD Program: Admission Requirements

The admission requirements for a PhD in Bioinformatics program include a 3.0 GPA, letters of recommendation, a personal statement, a current resume, official transcripts, and a master’s degree in a relevant field. Some universities will require GRE exam scores and approval by the department. Certain universities will accept students with a bachelor’s degree in a relevant field.

All international and English as a second language-speaking (ESL) students will need to submit proof of English proficiency in the form of the Test of English as a Foreign Language (TOEFL) exam scores or an equivalent proficiency exam. Admission processes will vary by school, so you should carefully examine the school’s requirements before submitting your application.

PhD in Bioinformatics Admission Requirements

• 3.0 minimum GPA
• Letters of recommendation
• Relevant master’s or bachelor’s degree
• Official transcripts
• GRE exam scores, depending on school
• Updated resume
• TOEFL exam or equivalent for international and ESL students

Bioinformatics PhD Acceptance Rates: How Hard Is It to Get Into a PhD Program in Bioinformatics?

It can be very hard to get into a PhD program in Bioinformatics because it is a highly specialized field that often requires real-world experience. Depending on the university you apply to, you will encounter different acceptance rates. You can learn how competitive the program is by searching for acceptance or admission rates on the program’s website.

Nevertheless, if you’re an outstanding student who achieved exceptional grades in a relevant master’s or bachelor’s program, you can be sure it will be easy to find an opportunity for acceptance in most universities.

How to Get Into the Best Universities

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Best PhDs in Bioinformatics: In Brief

Best Universities for Bioinformatics PhDs: Where to Get a PhD in Bioinformatics

The best universities for bioinformatics PhDs include the University of Utah, John Hopkins University, the University of California, Cornell University, Columbia University, and the University of Miami. If you’re looking for a top university with graduate bioinformatics degree programs, read below for details on each of the best programs available.

Colorado State University is a public academic institution founded in 1870. Located just under two hours from Denver, CSU has eight colleges that provide numerous graduate programs to over 3,500 graduate and doctoral students. 

PhD in Biological Science

Students of this biological science program will learn basic and applied biological research and have the choice of specializing in bioinformatics. To complete this 72-credit program, you will need the BZ 779 Dissertation, which has a minimum of 32 credits. Prospective students should contact the department advising faculty to match with an advisor for successful admission. 

PhD in Biological Science Overview

• Program Length : 5 years
• Acceptance Rate : N/A
• Tuition and Fees : $601.90/credit (in state); $1,475.80/credit (out of state)
• PhD Funding Opportunities : Graduate assistantships, Marshall and Rhodes grants, and the Martin Luther King, Jr. Graduate Scholarship

PhD in Biological Science Admission Requirements

• Master's or bachelor’s degree in a relevant field
• Three letters of recommendation
• Statement of purpose
• Approval by the admission board

Founded in 1754 by King George II, Columbia University was initially known as King's College. It is the oldest higher learning institute in New York and the fifth oldest in the US. The private university offers numerous PhD programs , including programs in art history, astronomy, chemical physics, and biological sciences.

PhD in Biomedical Informatics

Columbia University's bioinformatics PhD program concentrates on courses such as clinical informatics, bioinformatics, public health informatics, and clinical research informatics. The degree requirements include 60 credit units in coursework, two specialization courses, an ethics unit, a research seminar, and two classes of teaching assistant work. 

• Acceptance Rate : 5 - 7%
• Tuition and Fees : $25,248/semester
• PhD Funding Opportunities : Graduate assistantships, fellowships, and National Library of Medicine funding
• GRE exam scores
• Bachelor's or master’s degree in a relevant field
• Writing supplement
• Personal statement

Cornell University is a private research university founded in 1865 by Ezra Cornell and Andrew Dickinson White. Cornell offers numerous fully-funded PhD degrees, including programs in management, animal science, applied mathematics, molecular and cell biology, and astronomy and space sciences.

PhD in Computational Biology

This PhD in Computational Biology program blends mathematics, technology, and biology to train students to produce computational models of biological and genomic data. Students of this interdisciplinary program are taught and advised by faculty from 16 different fields and explore topics such as neuroscience, protein structure and databases, and biomechanics. 

PhD in Computational Biology Overview

• Program Length : 5 - 6 years
• Acceptance Rate : 5 - 10%
• Tuition and Fees : $20,800/year
• PhD Funding Opportunities : Graduate assistantships, research assistantships, and fellowships

PhD in Computational Biology Admission Requirements

• Official transcripts 
• Master’s degree
• Two to three letters of recommendation
• GRE exam scores (optional but encouraged)
• Application fee

John Hopkins University is a private research university named after its initial benefactor, John Hopkins. Founded in 1876, it was the first research university to be established in the United States. Some of the most renowned and highly-ranked doctoral programs at John Hopkins include medicine, biological sciences, biostatistics, and public health.  

PhD in Pathobiology

This PhD in Pathobiology program provides an active learning, evidence-based approach to pathobiology. Enrolled students are fully funded, with average costs of over $98,000 per student covered by the university. At the end of the program, students will be prepared for academic, teaching, research, and biotechnology positions to find solutions to various diseases.

PhD in Pathobiology Overview

• Program Length : 5.5 years
• Acceptance Rate : 9%
• Tuition and Fees : No fees
• PhD Funding Opportunities : Fully funded by Johns Hopkins with a $34,910 yearly stipend

PhD in Pathobiology Admission Requirements

• Current resume
• Bachelor’s or master’s degree
• GRE scores (optional)

Northern Arizona University is a public research university founded in 1899. NAU offers over 100 doctoral programs and enrolls over 4,500 graduate students. The school is ranked 57th on the list of the most innovative schools in the United States by US News & World Report. 

PhD in Informatics and Computing

PhD students enrolled in this program have the choice of specializing in Bioengineering Informatics, Cyber and Software Systems, Ecological and Environmental Informatics, or Health and Bioinformatics. Degree requirements include research, preparing and defending a dissertation, comprehensive exams, and completing 60 to 109 credit units of graduate courses. 

PhD in Informatics Overview

• Tuition and Fees : $12,250/year (in state); $28,240/year (out of state)
• PhD Funding Opportunities : CEIAS Scholarship, VMWare Scholarship, employee tuition reduction, and graduate assistantships and tuition waivers

PhD in Informatics Admission Requirements

• Personal statement or essay
• Relevant expertise in informatics

The University of Arizona is a public research university founded in 1885 by the Arizona Territorial Legislature. It was the first higher learning institution in the state. As a member of the Association of American Universities and the Universities Research Association, UA offers numerous top-quality doctoral degree programs. Top PhD programs include audiology, education, natural sciences, nursing, and musical arts.

PhD in Biostatistics

UA's biostatistics PhD program covers topics such as bioinstrumentation, molecular biophysics, interfacial biosystems engineering, polymeric science and engineering, and neural and neuromuscular prostheses. To get a PhD degree in this specialization, students must complete 74 credits of coursework, a dissertation, and qualifying examinations.

PhD in Biostatistics Overview

• Program Length : 6 to 7 years
• Acceptance Rate : 81.82%
• Tuition : $13,400/year (in state); $33,600/year (out of state)
• PhD Funding Opportunities : Graduate scholarships and assistantships, Named scholarships, and the Western Regional Graduate Program

PhD in Biostatistics Admission Requirements

• Master’s Degree in Statistics, Biostatistics, or a relevant field 
• 3.2 minimum GPA
• Statement of purpose, writing sample, and a mission and values statement
• Documented experience in computer programming (C++, Java, Python, or R programming languages) highly recommended

The University of California, Los Angeles (UCLA) was founded in 1882 as a teacher's college. Today, UCLA provides over 120 graduate programs to 6,000 newly admitted graduate students per year. Numerous graduate programs at UCLA are repeatedly ranked among the top programs in the world. 

PhD in Bioinformatics

Students in this program will enjoy research, training, and collaboration opportunities with some of the most expert faculty and professionals in the world of bioinformatics. Students have access to one of the largest computer grids in the US to explore topics like human genome evolution, population genetics, and computational methods to analyze epigenomic data. 

• Acceptance Rate : 28%
• Tuition and Fees : $17,756/year (in state); $32,858/year (out of state)
• PhD Funding Opportunities : Graduate assistantships, training grants, GEM Fellowship, UC HBCU Initiative, Dissertation Year Fellowship, and graduate student researcher positions
• Current Resume
• GRE exam scores (optional)

The University of Ilinois at Chicago was established in 1965 and enrolls over 33,000 students. Located on the West Side of Chicago, UIC is Chicago’s only public research university and is recognized for its cultural diversity. UIC’s graduate school departments offer 61 different doctoral programs to students in a wide range of fields. 

Core topics of this 108-credit program include machine learning, the principles of bioinformatics, and statistical mechanics in biological systems. Students of this program will complete and defend a dissertation, pass preliminary and qualifying exams, and complete at least two research seminars before graduation to obtain the PhD. 

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PhD in Bioinformatics Overview

• Program Length : N/A
• Tuition and Fees : $5,935/semester (in state); $12,369/semester (out of state)
• PhD Funding Opportunities : Teaching assistantships, research assistantships, tuition waivers, and fellowships
• Bachelor’s or Master’s Degree in Physics, Mathematics, Science, or a related field 
• Personal Statement

The University of Miami is a private research university established in South Florida in 1925. The university enrolls over 17,000 students in over 12 schools and colleges. It is known for its extensive undergraduate and doctoral programs in marine science, psychology, education, engineering, and medicine. 

PhD in Biomedical Engineering

The University of Miami takes biomedical engineering PhD students through key topics such as neurophysiology, cellular and molecular biology, and anatomy. Students of this 60-credit program are required to complete and defend a dissertation, pass oral qualifying exams, and publish at least two pieces of research. Graduates will be prepared for careers in academic or independent research in biomedical engineering.

PhD in Biomedical Engineering Overview

• Tuition and Fees : $19,917/semester
• PhD Funding Opportunities : UM Fellowship, Maytag Fellowship, and Dean’s Fellowship

PhD in Biomedical Engineering Admission Requirements

• Master's Degree in Biomedical Engineering or highly qualified candidates with a bachelor’s degree in a related scientific field

The University of Utah was founded in 1850 as the University of Deseret. It now hosts over 8,000 graduate students in more than 100 master’s and doctoral programs. The University of Utah has become a leader in the world of biomedical informatics since its program’s founding in 1964. 

Students in this program will cover the fundamentals of informatics and explore core coursework topics including translational informatics, grant writing, healthcare informatics, and statistics for biomedicine. The program is fully funded by the university and students will have the option of specializing in an informatics field of choice. 

PhD in Biomedical Informatics Overview

• Program Length : 3 to 4 years
• PhD Funding Opportunities : Program fully funded by the University of Utah with a $29,710 yearly stipend

PhD in Biomedical Informatics Admission Requirements

• 3.0 Minimum GPA 
• Approval by the department administration standards

Can You Get a PhD in Bioinformatics Online?

Yes, you can get a PhD in Bioinformatics online. Since the research work is computational, you can obtain your doctoral degree remotely as long as you fulfill all of the graduation requirements. However, you may have to apply to universities or colleges outside of your state to access online bioinformatics PhD programs.

Best Online PhD Programs in Bioinformatics

How Long Does It Take to Get a PhD in Bioinformatics?

Generally, it takes four to six years to complete a PhD in Bioinformatics. However, depending on the university and the specialization you pursue, you can spend three to five years completing the program. Certain programs will take more time than others, and online or part-time programs can often take longer to finish than full-time, on-campus programs.

Is a PhD in Bioinformatics Hard?

Yes, earning a PhD in Bioinformatics is hard. Students pursuing this degree must complete intensive coursework, exams, and other requirements such as a dissertation or thesis. Moreover, some departments will demand prior requirements such as computer programming and mathematical skills, which can be challenging to acquire.

It takes a lot of effort to obtain a PhD in Bioinformatics. Nonetheless, the effort is worth it. With hard work and time, obtaining a bioinformatics PhD is feasible.

How Much Does It Cost to Get a PhD in Bioinformatics?

The average tuition for a bioinformatics PhD program is $19,315 per year across all higher education institutions, according to the National Center for Education Statistics.

However, this value varies depending on the university. Some institutions will fund their bioinformatics PhD students completely, while others may ask for higher or lower tuition costs than the stated figures. Attending a private institution is often more expensive than a public institution, and it is best to research the costs and funding opportunities available for both.

How to Pay for a PhD in Bioinformatics: PhD Funding Options

The PhD funding options that students can take advantage of to pay for a PhD in Bioinformatics degree program include scholarships, graduate assistantships, fellowships, and tuition waivers. Some institutions, like the University of Utah and Johns Hopkins University, offer enrolled students fully-funded tuition, a yearly stipend, and health insurance.

Best Online Master’s Degrees

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What Is the Difference Between a Bioinformatics Master’s Degree and PhD?

The difference between a bioinformatics master’s degree and a PhD is the content of the curriculum and the number of years required to complete the program. While master’s degree programs typically take around two years, PhDs take an extended period of up to six or seven years.

Bioinformatics master’s degrees will cover foundational concepts, but PhDs focus on advanced knowledge and specialized, applicable skills in the field. Additionally, PhDs offer superior job positions compared to master’s degrees because they are the highest form of educational qualification one can have in a particular field of study.

Master’s vs PhD in Bioinformatics Job Outlook

The employment rate for bioengineers, a profession that typically only requires a bachelor’s or master’s degree, is projected to grow by six percent in the next decade , according to the Bureau of Labor Statistics. This is much lower than the rate of employment growth for bioinformatics scientists, which is expected to increase by 22 percent .

This shows that the demand for PhD degree candidates in the bioinformatics field is higher than that of master’s degree holders. Having a PhD in Bioinformatics makes you the most qualified candidate for most positions and you can be assured of securing numerous lucrative career opportunities.

Difference in Salary for Bioinformatics Master’s vs PhD

A PhD in Bioinformatics graduate earns an average base salary of $116,000 per year, according to PayScale. This does not include the numerous benefits and perks of this position. Moreover, some cities offer higher pay, such as San Francisco, San Diego, and New York.

With a Master’s Degree in Bioinformatics, candidates earn an average annual salary of $83,000. A PhD in Bioinformatics graduate earns almost double the salary of a master’s degree holder.

Related Bioinformatics Degrees

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Why You Should Get a PhD in Bioinformatics

You should get a PhD in Bioinformatics to enjoy the numerous benefits of this qualification. With a PhD, you will become a certified expert in the field. Below are some of top the reasons you should consider pursuing a bioinformatics PhD.

Reasons for Getting a PhD in Bioinformatics

• Career development . A PhD in Bioinformatics is essential to secure senior positions in the field. This doctoral degree proves that you have the relevant knowledge and skills to handle top positions in renowned companies, and gives you an edge over the competition in the job market.
• Academic achievement . Aside from securing a dream job, some people feel most accomplished when achieving their academic goals. You can pursue a PhD in Bioinformatics to improve your skills and intensive knowledge in this scientific field.
• Innovative health projects . The best bioinformatics degree programs will equip you with new knowledge and skills in science, computing, and health. You can utilize these skills to work on groundbreaking projects, such as finding a biological solution or cure to a disease.
• Higher earning potential . A PhD automatically increases a degree holder’s earning potential, and can lead to salaries that are double what they would be with a bachelor’s or master’s degree.

Getting a PhD in Bioinformatics: Bioinformatics PhD Coursework

Getting a PhD in Bioinformatics requires candidates to complete core bioinformatics PhD coursework in mathematics, statistics, computing, and biology. Below are a few of the most common core courses you may see in a bioinformatics PhD program curriculum.

Introduction to Bioinformatics

This course introduces students to the fundamental concepts of bioinformatics. It teaches about the different tools and techniques used in the field and how they are applied. It is typically a combination of theory and practical skills and topics for students to gain hands-on experience applying bioinformatics tools and solutions.

Bioinformatics Resources and Databases

This course involves the study of biological databases, data formats, ontologies, and biological resources. This course helps you learn how to obtain and apply different databases to find solutions in the field.

This course focuses on teaching students how to learn Linux , an operating system that is heavily utilized in the field of bioinformatics. It covers the introduction to Linux, Linux environment, command-line interface, manipulating files and directories, navigating Linux directory structure, and primary Linux commands.

Multiple Sequence Alignment

This course introduces students to multiple sequence alignment theory (MSA), and a protein, DNA, or RNA biological sequence alignment. Students will learn about visualization and assessment of MSA quality, and how to use proper tools for MSA analysis.

Molecular Evolution and Phylogenetics

A course in molecular evolution and phylogenetics focuses on how different species and genes are related. The course will cover introductory and overview methods of molecular evolution and phylogenetic approaches.

Best Master’s Degrees

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How to Get a PhD in Bioinformatics: Doctoral Program Requirements

When undertaking a PhD in Bioinformatics, you’ll have to fulfill all of the doctoral program requirements. Whether you are pursuing a PhD in Informatics and Computing, Information Science, or Pathobiology, below are the typical requirements you’ll need to fulfill to get your degree.

A PhD in Bioinformatics program will state the total credit hours you’ll have to complete to obtain your doctoral degree, as well as any required publication or research work. Programs can have credit requirements from 65 to over 100 credit hours. Many graduate assistantships or fully-funded programs will require students to publish articles in peer-reviewed journals or assist faculty in research.

Like many other degrees, PhD in Bioinformatics programs require multiple comprehension and qualifying exams for students to test whether they've mastered different key concepts in the field. To receive your Doctor of Philosophy degree, you must pass the preliminary and qualifying exams. 

As a highly-qualifying program of study, the best universities offering PhD in Bioinformatics degrees usually require a minimum GPA that candidates must maintain. Some programs will not allow candidates to graduate or will suspend funding or assistantships if a certain GPA is not met throughout their studies. 

Each bioinformatic PhD program entails certain coursework that students must complete in order to be certified in a specific area. This coursework is typically divided into different units in the curriculum, such as core courses, research and dissertation hours, and elective courses. 

Before enrolling in any PhD program, you should research the course curriculum in the school catalog to ensure that the curriculum is a good fit for your interests and career goals. 

Perhaps the most vital requirement for a bioinformatics PhD is the thesis or dissertation. A dissertation is a research project where students answer a particular question or solve a problem that is relevant to their field of study. 

The dissertation usually has to be orally defended in front of the department, and this allows the faculty to evaluate whether the candidate has acquired the necessary research skills to enable them to find a solution to real-world problems and situations. 

Potential Careers With a Bioinformatics Degree

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PhD in Bioinformatics Salary and Job Outlook

A PhD in Bioinformatics degree increases your qualifications for employment and your earning potential significantly. The job outlook for PhD holders in this field is 22 percent more than the national average for all other occupations. Therefore, you can always find a viable career opportunity in the field, from teaching in a university to industry research.

What Can You Do With a PhD in Bioinformatics?

With a PhD in Bioinformatics, you can join leading experts in many different career paths. You can also enjoy top-paying job opportunities with numerous benefits and exclusive perks to boost your productivity, job satisfaction, and career development. Below are some of the best bioinformatics jobs available to graduates.

Best Jobs with a PhD in Bioinformatics

• Computer and Information Research Scientist
• Postsecondary Teacher
• Bioinformatician
• Senior Research Scientist
• Principal Investigator/Clinical Research

What Is the Average Salary for a PhD in Bioinformatics?

The average PhD in Bioinformatics salary is $116,000 per year , according to PayScale. This value can vary depending on your location and the company you work for. Check out some of the best high-paying bioinformatics jobs below.

Highest-Paying Bioinformatics Jobs for PhD Grads

Best Bioinformatics Jobs with a Doctorate

The job opportunities for candidates with a PhD in Bioinformatics are endless. Below you’ll find information regarding job duties, job outlook, and annual salary information for some of the best jobs available in the field of bioinformatics.

Computer and information research scientists use their analytical and statistics skills to identify and improve computing problems in a wide range of industries. Job duties of these professionals can include working with scientists to identify and solve a technological problem and utilizing machine learning and data science concepts to conduct experiments and tests. 

• Salary with a Bioinformatics PhD : $131,490
• Job Outlook : 22% job growth from 2020 to 2030
• Number of Jobs : 33,000
• Highest-Paying States : Oregon, Arizona, and Texas

Principal or head scientists often lead teams of qualified research professionals that collect data on different phenomenons, from genetic sequencing to hereditary diseases. Their expertise and dedication to science allow them to properly analyze and predict trends, and they generally focus on advancing the scientific field itself as opposed to the profits of an industry. 

• Salary with a Bioinformatics PhD : $125,801
• Job Outlook : 17% job growth from 2020 to 2030
• Number of Jobs : 133,900
• Highest-Paying States : Connecticut, Maine, and Delaware

Senior research scientists in biotechnology engage in biology, mathematics, computer science, and/or chemistry research operations for companies, organizations, or universities. They often focus on academic and industrial projects to create new products or systems and conduct experiments to analyze developments in the field. 

• Salary with a Bioinformatics PhD : $108,465

Bioengineers work with computing and data science, engineering, and human health. These professionals typically work in research to develop new statistical models, software, or even drugs and cures to diseases, or quality assurance to test and inspect computer systems, equipment, and processes to ensure safety and effectiveness. 

• Salary with a Bioinformatics PhD : $97,410
• Job Outlook : 6% job growth from 2020 to 2030
• Number of Jobs : 19,300
• Highest-Paying States : New Mexico, Arizona, and Minnesota

Principle investigators in clinical research often work in laboratories and lead a team of scientists to conduct clinical research and tests regarding different diseases or medical phenomena. Objectives vary by field, but the principal investigator is in charge of assisting and offering guidance to team members and offering expertise in the research process. 

• Salary with a Bioinformatics PhD : $85,000

Is a PhD in Bioinformatics Worth It?

Yes, a PhD in Bioinformatics is worth it. With this doctoral qualification, you will stand out from other candidates, as a PhD degree proves that you have specialized, expert knowledge and skills to perform any role in bioinformatics exceptionally. With a high-earning potential in a growing field, pursuing a PhD in Bioinformatics will prove to be more than worth it.

Additional Reading About Bioinformatics

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PhD in Bioinformatics FAQ

Yes, you can get a top-quality PhD in Bioinformatics online at schools like Bircham International University, Rutgers University, and George Mason University. These institutions allow you to pursue your Doctor of Philosophy in Bioinformatics remotely and at your own pace.

The most affordable PhD in Bioinformatics programs are those that are fully funded by the university. These programs include the PhD in Pathobiology offered by Johns Hopkins and the PhD in Biomedical Informatics program at the University of Utah. These two universities cover the full tuition amount and even provide students with a yearly stipend to cater to other needs.

No, you typically cannot get an application fee back after you withdraw your application. Most application fees are non-refundable because they facilitate the entire evaluation process and prove to the department that you are serious about attending the program.

No, a Master’s Degree in Bioinformatics is not always a mandatory admission requirement. Many universities will accept candidates for bioinformatics PhD programs as long as they have a master’s degree in a relevant course, and other universities will accept highly qualified candidates with only a bachelor’s degree.

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Fellowships / Financial Aid

Phd fellowships.

The BU Bioinformatics Graduate Program receives funding from the NIH Institutional Training Grant in Bioinformatics and Computational Biology (T32GM100842). This grant provides fellowships to prepare PhD students for careers in the molecular life sciences who will support the advances now underway in modern medicine.  In addition to the NIH T32 Fellowships, PhD awards include Bioinformatics Program Fellowships, and Research Assistantships, as well as Teaching Fellowships and Graduate Teaching Assistantships. All fellowships include full tuition, health insurance, travel funding, and an annual stipend starting at $38,833.  Funding for PhD students in the Bioinformatics Graduate Program is administered by the Admissions Committee and there is no separate form to apply for financial aid.

Diversity and Inclusion Fellowship

Funds are available through the BU Bioinformatics Diversity & Inclusion Fellowship to provide newly enrolled and continuing PhD students with additional funding during their academic studies. This merit-based fellowship is part of our commitment to increasing the representation of underrepresented faculty in the field of computational biology and bioinformatics, and is available to PhD students who are members of historically underrepresented groups in higher education. As long as satisfactory academic progress is made, in accordance with our policy for merit-based aid, the awards can be renewed for a total of two years for students in our doctoral program.

International Research Fellowships

All PhD students enrolled in the Bioinformatics Program are eligible for International Research Fellowships to support their thesis project.  Each award is for 3 months of travel to work with a collaborating faculty member at one of our partner institutions.

Financial Aid for Master’s Students

Merit scholarships.

Tuition assistance is available to master’s students in the form of  BU Bioinformatics Program Merit Scholarships, which provide partial tuition to full-time MS students.  These scholarships are awarded at the time of admission and do not require a separate application . These awards are made to both international students and U.S. citizens who have demonstrated excellent academic ability, and enthusiasm and knowledge in the field of Bioinformatics.

Funds are available through the BU Bioinformatics Diversity & Inclusion Fellowship to provide newly enrolled MS students with additional funding during their academic studies. This merit-based fellowship is part of our commitment to increasing the number of underrepresented industry mentors in the field of computational biology and bioinformatics, and is available to MS students who are members of historically underrepresented groups in higher education. As long as satisfactory academic progress is made, in accordance with our policy for merit-based aid, the award can be renewed for a total of three semesters for students in our masters program.

Additional Resources

• BU Community of Science – PIVOT Database
• IBP Pathways to Science Database
• Loan calculators, deferment and consolidation information:  U.S. Department of Education Direct Loans

Diversity Travel Fellowships

BU Bioinformatics has funds available through the  BU Bioinformatics   Diversity Travel Fellowship  for prospective PhD students to visit Boston, tour the campus and meet our students and faculty, before applying for admission to our Program.

We are committed to increasing the representation of minorities in science.  We believe that all of our students benefit from being part of a community where they can learn about each other’s backgrounds, cultures, religious beliefs, physical and mental abilities, political views, and career aspirations. As ours was one of the first Bioinformatics graduate programs, we feel a particular responsibility to support highly qualified individuals who are underrepresented in science.

This award includes transportation, hotel and other related costs, as well as a waiver for the PhD Program application fee.  If you are planning to apply to PhD programs in computational biology, bioinformatics or systems biology, take advantage of this unique opportunity to visit historic Boston, tour the campus, speak with students and faculty about their research, and discover the program on a new level.

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Computational Biology PhD

The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.

The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research, and offers an integrated and customizable curriculum that consists of two semesters of didactic course work tailored to each student’s background and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

The  Computational Biology Graduate Group  facilitates student immersion into UC Berkeley’s vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Many of these faculty are available as potential dissertation research advisors for Computational Biology PhD students, with more available for participation on doctoral committees.

Google PhD fellowship program

Google PhD Fellowships directly support graduate students as they pursue their PhD, as well as connect them to a Google Research Mentor.

Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Google’s mission is to foster inclusive research communities and encourage people of diverse backgrounds to apply. We currently offer fellowships in Africa, Australia, Canada, East Asia, Europe, India, Latin America, New Zealand, Southeast Asia and the United States.

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Program details

Application status, how to apply, research areas of focus, review criteria, award recipients.

Applications are currently closed.

Update on 2024 Announcement : Decisions for the 2024 application cycle, originally planned for July 2024, will now be announced via email in August 2024. We apologize for the delay and appreciate your patience as we work to finalize decisions.

• Launch March 27, 2024
• Deadline May 8, 2024
• Awardees Notified By Aug. 31, 2024

The details of each Fellowship vary by region. Please see our FAQ for eligibility requirements and application instructions.

PhD students must be nominated by their university. Applications should be submitted by an official representative of the university during the application window. Please see the FAQ for more information.

Australia and New Zealand

Canada and the United States

PhD students in Japan, Korea and Taiwan must be nominated by their university. After the university's nomination is completed, either an official representative of the university or the nominated students can submit applications during the application window. Please see the FAQ for more information.

India and Southeast Asia

PhD students apply directly during the application window. Please see the FAQ for more information.

Latin America

The 2024 application cycle is postponed. Please check back in 2025 for details on future application cycles.

Google PhD Fellowship students are a select group recognized by Google researchers and their institutions as some of the most promising young academics in the world. The Fellowships are awarded to students who represent the future of research in the fields listed below. Note that region-specific research areas will be listed in application forms during the application window.

Algorithms and Theory

Distributed Systems and Parallel Computing

Health and Bioscience

Human-Computer Interaction and Visualization

Machine Intelligence

Machine Perception

Natural Language Processing

Quantum Computing

Security, Privacy and Abuse Prevention

Software Engineering

Software Systems

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Applications are evaluated on the strength of the research proposal, research impact, student academic achievements, and leadership potential. Research proposals are evaluated for innovative concepts that are relevant to Google’s research areas, as well as aspects of robustness and potential impact to the field. Proposals should include the direction and any plans of where your work is going in addition to a comprehensive description of the research you are pursuing.

In Canada and the United States, East Asia and Latin America, essay responses are evaluated in addition to application materials to determine an overall recommendation.

What does the Google PhD Fellowship include?

Students receive named Fellowships which include a monetary award. The funds are given directly to the university to be distributed to cover the student’s expenses and stipend as appropriate. In addition, the student will be matched with a Google Research Mentor. There is no employee relationship between the student and Google as a result of receiving the fellowship. The award does not preclude future eligibility for internships or employment opportunities at Google, nor does it increase the chances of obtaining them. If students wish to apply for a job at Google, they are welcome to apply for jobs and go through the same hiring process as any other person.

• Up to 3 year Fellowship
• US $12K to cover stipend and other research related activities, travel expenses including overseas travel
• Google Research Mentor
• 1 year Fellowship
• AUD $15K to cover stipend and other research related activities, travel expenses including overseas travel
• Up to 2 year Fellowship (effective from 2024 for new recipients)
• Full tuition and fees (enrollment fees, health insurance, books) plus a stipend to be used for living expenses, travel and personal equipment
• US $10K to cover stipend and other research related activities, travel expenses including overseas travel
• Yearly bursary towards stipend / salary, health care, social benefits, tuition and fees, conference travel and personal computing equipment. The bursary varies by country.

Early-stage PhD students

• Up to 4 year Fellowship
• US $50K to cover stipend and other research related activities, travel expenses including overseas travel

Late-stage PhD students

• US $10K to recognise research contributions, cover stipend and other research related activities, travel expenses including overseas travel
• US $15K per year to cover stipend and other research related activities, travel expenses including overseas travel

Southeast Asia

• US $10K per year for up to 3 years (or up to graduation, whichever is earlier) to cover stipend and other research related activities, travel expenses including overseas travel

Is my university eligible for the PhD Fellowship Program?

Africa, Australia/New Zealand , Canada, East Asia, Europe and the United States : universities must be an accredited research institution that awards research degrees to PhD students in computer science (or an adjacent field).

India, Latin America and Southeast Asia : applications are open to universities/institutes in India, Latin America (excluding Cuba), and in eligible Southeast Asian countries/regions (Brunei, Cambodia, Indonesia, Malaysia, Myanmar, Philippines, Singapore, Thailand, Vietnam).

Restrictions : All award payments and recipients will be reviewed for compliance with relevant US and international laws, regulations and policies. Google reserves the right to withhold funding that may violate laws, regulations or our policies.

What are the eligibility requirements for students?

All regions

• Students must remain enrolled full-time in the PhD program for the duration of the Fellowship or forfeit the award.
• Google employees, and their spouses, children, and members of their household are not eligible.
• Students that are already supported by a comparable industry award are not eligible. Government or non-profit organization funding is exempt.
• Past awardees from the PhD Fellowship program are not eligible to apply again.
• Grant of the Fellowship does not mean admission to a PhD program. The awardee must separately apply and be accepted to a PhD program in computer science (or an adjacent field) at an eligible institution.
• Grant of the Fellowship will be subject to the rules and guidelines applicable in the institution where the awardee registers for the PhD program.

Nominated students in Africa, Australia and New Zealand, Canada and the United States, East Asia and Europe.

Universities should only nominate students that meet the following requirements:

• Africa: Incoming PhD students are eligible to apply, but the Fellowship award shall be contingent on the awardee registering for a full-time PhD program in computer science (or an adjacent field) within the academic award year of the Fellowship award, or the award shall be forfeited.
• Australia and New Zealand : early-stage students enrolled in the first or second year of their PhD (no requirement for completion of graduate coursework by the academic award year).
• Canada and the United States : students who have completed graduate coursework in their PhD by the academic award year when the Fellowship begins.
• East Asia: students who have completed most of graduate coursework in their PhD by the academic award year when the Fellowship begins. Students should have sufficient time for research projects after receiving a fellowship.
• Europe: Students enrolled at any stage of their PhD are eligible to apply.

Direct applicant students in India, Latin America and Southeast Asia

• Latin America : incoming or early stage-students enrolled in the first or second year of their PhD (no requirement for completion of graduate coursework by the academic award year).

What should be included in an application? What language should the application be in?

All application materials should be submitted in English.

For each student nomination, the university will be asked to submit the following material in a single, flat (not portfolio) PDF file:

• Student CV with links to website and publications (if available)
• Short (1-page) resume/CV of the student's primary PhD program advisor
• Available transcripts (mark sheets) starting from first year/semester of Bachelor's degree to date
• Research proposal (maximum 3 pages, excluding references)
• 2-3 letters of recommendation from those familiar with the nominee''s work (at least one from the thesis advisor for current PhD students)
• Student essay response (350-word limit) to: What impact would receiving this Fellowship have on your education? Describe any circumstances affecting your need for a Fellowship and what educational goals this Fellowship will enable you to accomplish.
• Transcripts of current and previous academic records
• 1-2 letters of recommendation from those familiar with the nominee's work (at least one from the thesis advisor)

Canada, East Asia, the United States

• Cover sheet signed by the Department Chair confirming the student passes eligibility requirements. (See FAQ "What are the eligibility requirements for students?")
• Short (1-page) CV of the student's primary advisor
• 2-3 letters of recommendation from those familiar with the nominee's work (at least one from the thesis advisor)
• Research / dissertation proposal (maximum 3 pages, excluding references)
• Student essay response (350-word limit) to: Describe the desired impact your research will make on the field and society, and why this is important to you. Include any personal, educational and/or professional experiences that have motivated your research interests.
• Student essay response (350-word limit) to: Describe an example of your leadership experience in which you have positively influenced others, helped resolve disputes or contributed to group efforts over time. (A leadership role can mean more than just a title. It can mean being a mentor to others, acting as the person in charge of a specific task, or taking the lead role in organizing an event or project. Think about what you accomplished and what you learned from the experience. What were your responsibilities? Did you lead a team? How did your experience change your perspective on leading others? Did you help to resolve an important dispute at your school, church, in your community or an organization? And your leadership role doesn’t necessarily have to be limited to school activities. For example, do you help out or take care of your family?)

Students will need the following documents in a single, flat (not portfolio) PDF file in order to complete an application (in English only):

• Student applicant’s resume with links to website and publications (if available)
• Short (one-page) resume/CV of the student applicant's primary PhD program advisor
• 2-3 letters of recommendation from those familiar with the applicant's work (at least one from the thesis advisor for current PhD students)
• Applicant's essay response (350-word limit) to: Describe the desired impact your research will make on the field and society, and why this is important to you. Include any personal, educational and/or professional experiences that have motivated your research interests.
• Applicant's essay response (350-word limit) to: What are your long-term goals for your pathway in computing research, and how would receiving the Google PhD Fellowship help you progress toward those goals in the short-term?

How do I apply for the PhD Fellowship Program? Who should submit the applications? Can students apply directly for a Fellowship?

Check the eligibility and application requirements in your region before applying. Submission forms are available on this page when the application period begins.

India, Latin America and Southeast Asia: students may apply directly during the application period.

Africa, Australia, Canada, East Asia, Europe, New Zealand, and the United States : students cannot apply directly to the program; they must be nominated by an eligible university during the application period.

How many students may each university nominate?

India, Latin America and Southeast Asia : applications are open directly to students with no limit to the number of students that can apply from a university.

Australia and New Zealand : universities may nominate up to two eligible students.

Canada and the United States : Universities may nominate up to four eligible students. We encourage nominating students with diverse backgrounds especially those from historically marginalized groups in the field of computing. If more than two students are nominated then we strongly encourage additional nominees who self-identify as a woman, Black / African descent, Hispanic / Latino / Latinx, Indigenous, and/or a person with a disability.

Africa, East Asia and Europe : Universities may nominate up to three eligible students. We encourage nominating students with diverse backgrounds especially those from historically marginalized groups in the field of computing. If more than two students are nominated then we strongly encourage the additional nominee who self-identifies as a woman.

*Applications are evaluated on merit. Please see FAQ for details on how applications are evaluated.

How are applications evaluated?

In Canada and the United State, East Asia and Latin America, essay responses are evaluated in addition to application materials to determine an overall recommendation.

A nominee's status as a member of a historically marginalized group is not considered in the selection of award recipients.

Research should align with Google AI Principles .

Incomplete proposals will not be considered.

How are Google PhD Fellowships given?

Any monetary awards will be paid directly to the Fellow's university for distribution. No overhead should be assessed against them.

What are the intellectual property implications of a Google PhD Fellowship?

Fellowship recipients are not subject to intellectual property restrictions unless they complete an internship at Google. If that is the case, they are subject to the same intellectual property restrictions as any other Google intern.

Will the Fellowship recipients become employees of Google?

No, Fellowship recipients do not become employees of Google due to receiving the award. The award does not preclude future eligibility for internships or employment opportunities at Google, nor does it increase the chances of obtaining them. If they are interested in working at Google, they are welcome to apply for jobs and go through the same hiring process as any other person.

Can Fellowship recipients also be considered for other Google scholarships?

Yes, Fellowship recipients are eligible for these scholarships .

After award notification, when do the Google PhD Fellowships begin?

After Google PhD Fellowship recipients are notified, the Fellowship is effective starting the following school year.

What is the program application time period?

Applications for the 2024 program will open in March 2024 and close in May 2024 for all regions. Refer to the main Google PhD Fellowship Program page for each region’s application details.

A global awards announcement will be made in September on the Google Research Blog publicly announcing all award recipients.

How can I ask additional questions?

Due to the volume of emails we receive, we may not be able to respond to questions where the answer is available on the website. If your question has not been answered by a FAQ, email:

Africa: [email protected]

Australia and New Zealand: [email protected]

Canada and the United States: [email protected]

East Asia: [email protected]

Europe: [email protected]

India: [email protected]

Latin America: [email protected]

Southeast Asia: [email protected]

See past PhD Fellowship recipients.

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• Bioinformatics

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CREATE PhD Programme for African Researchers 2025

Published: 10 Sep 2024 152 views

The CREATE PhD Programme will provide 25 doctoral fellowships to UK professional body registered health professionals who will register for their PhD at one of the five  UK Partner Institutions   and conduct their research at one of six  African Partner Institutions . 

In addition, the CREATE PhD Programme will also recruit and support an equal number of fellows based in African partner countries (Uganda, The Gambia, Zambia, Zimbabwe and Ethiopia) to undertake a PhD. The fellows from the African countries will have the choice to register their PhD in their home country or at one of the UK partner institutions.  It is generally expected that all fellows will spend approximately 2 years in the African partner country undertaking their research.

UK recruited fellows will be paired with the African PhD fellow in the same country where they will be based, to create a blended south-north cohort of fellows. All CREATE PhD Programme fellows, regardless of their source of recruitment, will be able to access a large supervisory pool, training and mentorship offered by the Programme.

• Table of Content

About CREATE PhD Programme

Create phd programme, aim and benefits of create phd programme, requirements for create phd programme qualification, interview date, process and venue for create phd programme, application deadline, how to apply.

The programme will provide a stipend, research costs, PhD registration and cover training costs.

You will receive a highly prestigious PhD Training Fellowship, which includes:

• Dedicated support from the Project Management Group to support the application process and to provide oversight of your PhD. 
• Outstanding global health supervisory expertise across a broad range of research themes and academic disciplines including laboratory science, bioinformatics, epidemiology, biostatistics, implementation science, social science and anthropology, development geography, health economics and health policy.
• Access to African Partner Institutions spread across the continent in countries with different disease burdens and health systems and with exceptional research platforms providing rich research opportunities.
• Access to relevant postgraduate training courses to promote scientifically rigorous research, and  a rich programme of training and cohort activities.
• The  Digital Global Health Academy , a modular research training programme, aimed at equipping fellows to be future global health leaders
• A centralised mentorship scheme as an additional support to the supervisory team.
• Peer-partnering of UK and African PhD fellows, sharing knowledge, ideas and training opportunities, building a mutually supportive community of fellows.
• African national
• Willing to be based in one of the Programme  African Partner  Institutions (linked to the PhD) for the duration of their PhD
• Requisite training required to undertake the PhD Project (as specified for each project)

Applications for 2024

• Stage 1 Applications Open:  Monday 9th September 2024
• Stage 1 Webinar and Q&A:  Wednesday 9th October 2024 (time TBA) 
• Deadline for Stage 1 applications: Friday 8th November 2024 (23.59 GMT)
• Stage 1 outcomes communicated: mid-December 2024
• Deadline for Stage 2 application: Tuesday 18th March 2025 (23.59 GMT)  
• Interviews: 13th and 14th May 2025

The PhD programme is open to all candidates who want to undertake research focused on the major global health challenges in Africa. This fellowship programme will provide a 3-year research PhD training fellowship. Candidates apply through a localised admissions process at one of the African Partner Institutions (API), but if awarded a fellowship can be registered at either the API or another institution (e.g. a UK institution) dependent on the individual circumstances of the award.

Candidates submit an application to their API of choice, for a particular pre-identified project, along with any other required documentation (please consult the local recruitment contact point and/or website for further information).

For more details, visit  CREATE PhD Programme website.

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PhD Position (m/f/d) "A Bioinformatics Approach to Analyzing Epistatic Interactions in Enzymes using Long-read Sequencing Data"

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ASSISTANT/ASSOCIATE SCIENTIST

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Doctoral fellow

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Active funding opportunity

Nsf 24-591: nsf graduate research fellowship program (grfp), program solicitation, document information, document history.

• Posted: July 12, 2024
• Replaces: NSF 23-605

Program Solicitation NSF 24-591

Application Deadline(s) (received by 5 p.m. local time of applicant's mailing address):

     October 15, 2024

Chemistry; Geosciences, Mathematical Sciences; Physics and Astronomy

     October 16, 2024

Life Sciences

     October 17, 2024

Engineering

     October 18, 2024

Computer and Information Science and Engineering; Materials Research; Psychology; Social, Behavioral and Economic Sciences, STEM Education and Learning

Important Information And Revision Notes

• This solicitation covers the Fiscal Year (FY) 2025 competition.
• Applicants must use the Research.gov/GRFP site ( https://www.research.gov/grfp/Login.do ) to register in Research.gov and submit their applications through the GRFP Application Module. Only materials submitted through the GRFP Application Module will be accepted.
• Applications are due on the deadline date at 5:00 p.m. local time of the applicant's mailing address.
• Currently enrolled second-year graduate students are strongly advised to provide official Registrar-issued transcripts that clearly indicate the start date of their graduate degree enrollment as part of their application. If the start date is not clearly stated on the transcript, applicants should upload a Registrar-issued document indicating the start of graduate degree enrollment to avoid delay in processing.
• NSF will continue to emphasize high priority research in alignment with the priorities laid out in pages 129-130 of the FY2025 budget [ Budget of the United States Government, Fiscal Year 2025 (whitehouse.gov) ]
• Portions of the eligibility criteria have been rewritten for clarity.
• Reference letters are due October 11 at 5:00 p.m. Eastern Time (ET). The reference letter deadline is a few days before the application deadline dates. Reference letter writers must use the Research.gov/GRFP site ( https://www.research.gov/grfp/Login.do ) to register in Research.gov and submit reference letters through the NSF Reference Letter System.
• Applicants and reference letter writers requiring accessibility accommodation are asked to notify the GRF Operations Center at least four weeks before the deadline to coordinate assistance with NSF in submitting the application or reference letter.

Summary Of Program Requirements

General information.

Program Title:

NSF Graduate Research Fellowship Program (GRFP)

Synopsis of Program:

The purpose of the NSF Graduate Research Fellowship Program (GRFP) is to help ensure the quality, vitality, and diversity of the scientific and engineering workforce of the United States. The program recognizes and supports outstanding graduate students who are pursuing full-time research-based master's and doctoral degrees in science, technology, engineering, and mathematics (STEM) or in STEM education. The GRFP provides three years of support over a five-year fellowship period for the graduate education of individuals who have demonstrated their potential for significant research achievements in STEM or STEM education. NSF actively encourages submission of applications from the full spectrum of diverse talent that society has to offer which includes underrepresented and under-served communities. NSF GRFP was established to recruit and support individuals who demonstrate the potential to make significant contributions in STEM. NSF especially encourages applications from undergraduate seniors and Bachelor's degree-holders interested in pursuing research-based graduate study in STEM. First- and second-year graduate students in eligible STEM fields and degree programs are also encouraged to apply.

Broadening Participation In STEM:

NSF recognizes the unique lived experiences of individuals from communities that are underrepresented and/or under-served in science, technology, engineering, and mathematics (STEM) and the barriers to inclusion and access to STEM education and careers. NSF highly encourages the leadership, partnership, and contributions in all NSF opportunities of individuals who are members of such communities supported by NSF. This includes leading and designing STEM research and education proposals for funding; serving as peer reviewers, advisory committee members, and/or committee of visitor members; and serving as NSF leadership, program, and/or administrative staff. NSF also highly encourages demographically diverse institutions of higher education (IHEs) to lead, partner, and contribute to NSF opportunities on behalf of their research and education communities. NSF expects that all individuals, including those who are members of groups that are underrepresented and/or under-served in STEM, are treated equitably and inclusively in the Foundation's proposal and award process.

NSF encourages IHEs that enroll, educate, graduate, and employ individuals who are members of groups underrepresented and/or under-served in STEM education programs and careers to lead, partner, and contribute to NSF opportunities, including leading and designing STEM research and education proposals for funding. Such IHEs include, but may not be limited to, community colleges and two-year institutions, mission-based institutions such as Historically Black Colleges and Universities (HBCUs), Tribal Colleges and Universities (TCUs), women's colleges, and institutions that primarily serve persons with disabilities, as well as institutions defined by enrollment such as Predominantly Undergraduate Institutions (PUIs), Minority-Serving Institutions (MSIs), and Hispanic Serving Institutions (HSIs).

"Broadening participation in STEM" is the comprehensive phrase used by NSF to refer to the Foundation's goal of increasing the representation and diversity of individuals, organizations, and geographic regions that contribute to STEM teaching, research, and innovation. To broaden participation in STEM, it is necessary to address issues of equity, inclusion, and access in STEM education, training, and careers. Whereas all NSF programs might support broadening participation components, some programs primarily focus on supporting broadening participation research and projects. Examples can be found on the NSF Broadening Participation in STEM website.

Cognizant Program Officer(s):

Please note that the following information is current at the time of publishing. See program website for any updates to the points of contact.

• Contact: GRF Operations Center, telephone: (866) 673-4737, email: [email protected]
• 47.041 --- Engineering
• 47.049 --- Mathematical and Physical Sciences
• 47.050 --- Geosciences
• 47.070 --- Computer and Information Science and Engineering
• 47.074 --- Biological Sciences
• 47.075 --- Social Behavioral and Economic Sciences
• 47.076 --- STEM Education
• 47.079 --- Office of International Science and Engineering
• 47.083 --- Office of Integrative Activities (OIA)
• 47.084 --- NSF Technology, Innovation and Partnerships

Award Information

Anticipated Type of Award: Fellowship

Estimated Number of Awards: 2,300

NSF will support up to 2,300 new Graduate Research Fellowships per fiscal year under this program solicitation pending availability of funds.

Anticipated Funding Amount: $159,000

Per award (Fellowship), pending the availability of funds.

Each Fellowship provides three years of support over a five-year fellowship period. For each of the three years of support, NSF provides a $37,000 stipend and $16,000 Cost of Education allowance to the graduate degree-granting institution of higher education for each Fellow who uses the support in a fellowship year. The Fellowship is portable and can be transferred to a different institution of higher education if a Fellow chooses to transfer to another institution after completion of the first Fellowship year. While the Fellowship is offered to the individual, the Fellowship funds are awarded to the institution of higher education at which a Fellow is enrolled and the institution is responsible for disbursement of the stipend to the Fellow.

Eligibility Information

Organization Limit:

Fellowship applications must be submitted by the prospective Fellow. Applicants must use the GRFP application module in Research.gov ( https://www.research.gov/grfp/Login.do ) to submit the application. Confirmation of acceptance in a graduate degree program in STEM or STEM education is required at the time of Fellowship acceptance, no later than the deadline indicated in the fellowship offer letter, of the year the Fellowship is accepted. Prospective Fellows must enroll in a non-profit university, college, or institution of higher education accredited in, and having a campus located in, the United States, its territories or possessions, or the Commonwealth of Puerto Rico that offers advanced degrees in STEM and STEM education no later than fall of the year the Fellowship is accepted. All Fellows from the date of Fellowship Start through Completion or Termination of the Fellowship must be enrolled in a graduate degree-granting institution of higher education accredited in, and having a campus located in, the United States its territories or possessions, or the Commonwealth of Puerto Rico.

Applicant Eligibility:

See the Detailed Eligibility Requirements in Section IV for full information. Eligibility is based on the applicant's status at the application deadline.

Applicants must self-certify that they are eligible to receive the Fellowship. To be eligible, an applicant must meet all of the following eligibility criteria at the application deadline. All academic credentials must be indicated in Registrar-issued transcripts.

• Be a U.S. citizen, national, or permanent resident
• Intend to enroll or be enrolled full-time in a research-based Master's or doctoral degree program in an eligible Field of Study in STEM or STEM education (See Appendix and Section IV.3 for eligible Fields of Study
• Never previously accepted a Graduate Research Fellowship
• Declined any previously offered Graduate Research Fellowship by the acceptance deadline
• Never previously applied to GRFP while enrolled in a graduate degree program
• Never earned a doctoral or terminal degree in any field
• Have completed no more than one academic year (according to institution's academic calendar) while enrolled in a graduate degree program (non-degree coursework must be clearly identified in the transcript and does not count toward this limit)
• Individuals holding joint Bachelor's-Master's degrees who did not apply while enrolled in the joint program, may apply as second-year graduate applicants if enrolled in an eligible doctoral program the beginning of the academic year immediately following the academic award year of the joint degree
• not enrolled in a graduate degree program at application deadline
• two or more consecutive years past graduate degree enrollment or completion at the application deadline
• Not be a current NSF employee.

Applications that do not meet eligibility requirements will not be reviewed.

Number of Times an Individual May Apply

• Undergraduate seniors and Bachelor's degree holders who have never enrolled in a graduate degree program have no restrictions on the number of times they can apply before enrolling in a degree-granting graduate program.
• Currently enrolled graduate students who have completed no more than one academic year (according to institution's academic calendar) while enrolled in a graduate degree program can apply only once . Non-degree coursework (clearly identified in a transcript) does not count toward the one academic year limit.
• Individuals applying while enrolled in a joint Bachelor's-Master's degree program are considered graduate students who: i) must have completed three (3) years in the joint program, and; ii) are limited to one application to GRFP; they will not be eligible to apply again as doctoral students. For GRFP, joint Bachelor's-Master's degrees are defined as degrees concurrently pursued and awarded .
• Individuals holding joint Bachelor's-Master's degrees, currently enrolled as first-year doctoral students, who (i) have not previously applied as graduate students and (ii) enrolled in the doctoral program the beginning of the academic year immediately following the academic award year of the joint degree, may only apply in the first year of the doctoral program.
• Applications withdrawn by November 15 of the application year do not count toward the one-time graduate application limit. Applications withdrawn after November 15 count toward this one-time limit.
• Applications not reviewed by NSF do not count toward the one-time graduate application limit.

Limit on Number of Applications per Applicant: 1

An eligible applicant may submit only one application per annual competition.

Application Preparation and Submission Instructions

A. application preparation instructions.

• Letters of Intent: Not applicable
• Preliminary Proposal Submission: Not applicable
• Application Instructions: This solicitation contains information that deviates from the standard NSF Proposal and Award Policies and Procedures Guide (PAPPG) proposal preparation guidelines. Please see the full text of this solicitation for further information.

B. Budgetary Information

C. due dates, application review information criteria.

Merit Review Criteria:

National Science Board approved Merit Review Criteria (Intellectual Merit and Broader Impacts) apply. Additional Solicitation-Specific Review Criteria also apply (see Section VI.A below).

Award Administration Information

Award Conditions:

NSF GRFP awards are made to the institution of higher education at which a Fellow is or will be enrolled. The awardee institution is responsible for financial management of the award and disbursement of Fellowship funds to the individual Fellow. The institution will administer the awards, including any amendments, in accordance with the terms of the Agreement and provisions (and any subsequent amendments) contained in the document NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials . All Fellowships are subject to the provisions (and any subsequent amendments) contained in the document NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials .

Reporting Requirements:

See reporting requirements in full text of solicitation and the NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials . Fellows are required to submit annual activity reports and to declare fellowship status by the deadline specified in the notification sent by email each year. Additional reporting requirements are presented in Section VII.C of this solicitation.

I. Introduction

The Graduate Research Fellowship Program (GRFP) is a National Science Foundation-wide program that provides Fellowships to individuals selected early in their graduate careers based on their demonstrated potential for significant research achievements in science, technology, engineering or mathematics (STEM) or in STEM education. Three years of support over a five-year period are provided for graduate study that leads to a research-based master's or doctoral degree in STEM or STEM education (see eligible Fields of Study in Appendix).

The program goals are: 1) to select, recognize, and financially support early-career individuals with the demonstrated potential to be high achieving scientists and engineers, and 2) to broaden participation of the full spectrum of diverse talents in STEM. NSF actively encourages submission of applications from the full spectrum of diverse talent in STEM.

GRFP is a critical program in NSF's overall strategy to develop the globally-engaged workforce necessary to ensure the Nation's leadership in advancing science and engineering research and innovation. The ranks of NSF Fellows include numerous individuals who have made transformative breakthrough discoveries in science and engineering, become leaders in their chosen careers, and been honored as Nobel laureates.

II. Program Description

The Graduate Research Fellowship Program (GRFP) awards Fellowships for graduate study leading to research-based master's and doctoral degrees in STEM or in STEM education. GRFP supports individuals proposing a comprehensive plan for graduate education that takes individual interests and competencies into consideration. The plan describes the academic achievements, attributes, and experiences that illustrate the applicant's demonstrated potential for significant research achievements. The applicant must provide a detailed profile of their relevant education, research experience, and plans for graduate education that demonstrates this potential.

Prospective applicants are advised that submission of an application implies their intent to pursue graduate study in a research-based program in STEM or STEM education at an accredited, non-profit institution of higher education having a campus located in the United States, its territories or possessions, or the Commonwealth of Puerto Rico. All applicants are expected to either have adequate preparation to enroll in a research-based master's or doctoral program, or be enrolled in such a program by fall of the year the Fellowship is accepted. From the date of the Fellowship Start through Completion or Termination of the Fellowship, applicants accepting the award (Fellows) must be enrolled in an accredited graduate degree-granting institution of higher education having a campus located in the United States, its territories or possessions, or the Commonwealth of Puerto Rico.

In FY2024, NSF will continue to fund outstanding Graduate Research Fellowships in all areas of science and engineering supported by NSF and continue to emphasize high priority research areas in alignment with NSF goals and priorities listed in pages 127-128 of the FY2024 budget ( https://www.whitehouse.gov/wp-content/uploads/2023/03/budget_fy2024.pdf ). Applications are encouraged in all disciplines supported by NSF.

III. Award Information

Fellowship funding will be for a maximum of three years of financial support (in 12-month allocations starting fall of the award year) usable over a five-year fellowship period. The anticipated announcement date for the Fellowship awards is early April each year.

The Fellowship is portable and can be transferred to a different institution of higher education if a Fellow chooses to transfer to another institution after completion of the first Fellowship year. While the Fellowship is offered to the individual, the Fellowship funds are awarded to the institution at which a Fellow is enrolled and is considered the official NSF awardee institution. The awardee institution receives up to a $53,000 award per Fellow who uses the support in a fellowship year. The awardee institution is responsible for disbursement of fellowship funds to the Fellow. The Graduate Research Fellowship stipend is $37,000 for a 12-month tenure period, prorated in whole month increments of $3,083. The Cost of Education allowance provides payment in lieu of tuition and mandatory fees to the institution of $16,000 per year of fellowship support.

During receipt of the fellowship support, the institution is required to exempt Fellows from paying tuition and fees normally charged to students of similar academic standing, unless such charges are optional or are refundable (i.e., the institution is responsible for tuition and required fees in excess of the Cost of Education allowance). Acceptance of fellowship funds by the awardee institution indicates acceptance of and adherence to these and other terms and conditions of the NSF GRFP award as indicated in the NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials .

GRFP awards are eligible for supplemental funding as described in Chapter VI of the NSF Proposal & Award Policies & Procedures Guide (PAPPG).

Facilitation Awards for Scientists and Engineers with Disabilities (FASED) provide funding for special assistance or equipment to enable persons with disabilities to work on NSF-supported projects as described in Chapter II.F of the PAPPG. Fellows with disabilities may apply for assistance after consulting the instructions in the document NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials.

Career-Life Balance Supplemental Funding Requests (Dear Colleague Letter NSF 21-021 ) can be requested by the awardee institution to provide additional personnel (e.g., technician) to sustain the research of Fellows on approved medical leave due to family leave situations as indicated in Chapter II.F of the PAPPG.

Fellows are eligible to apply for non-academic INTERN supplements; applications must be submitted according to GRFP-specific guidance stated in the INTERN program description.

Honorable Mention

The NSF accords Honorable Mention to meritorious applicants who do not receive Fellowship offers. This is considered a significant national academic achievement.

IV. Eligibility Information

Additional Eligibility Info:

Eligibility is based on the applicant's status at the application deadline. Detailed Eligibility Requirements: Described in detail below are the eligibility requirements for the Graduate Research Fellowship Program: (1) citizenship, (2) degree requirements, and (3) field of study, degree programs, and proposed research. Applicants are strongly advised to read the entire program solicitation carefully to ensure that they understand all the eligibility requirements. Applicants must self-certify that they meet all eligibility criteria. 1. Citizenship Applicants must be United States citizens, nationals, or permanent residents by the application deadline. The term "national" designates a native resident of a commonwealth or territory of the United States. It does not refer to a citizen of another country who has applied for United States citizenship and who has not received U.S. citizenship by the application deadline, nor does it refer to an individual present in the U.S. on any type of visa. 2. Degree Requirements Eligible applicants: 1) current undergraduates or Bachelor's degree holders never enrolled in a degree-granting graduate program, who will be prepared to attend graduate school in fall of the award year; 2) current graduate students with no more than one academic year completed according to institution's academic calendar of any degree-granting graduate program; or 3) currently unenrolled individuals who wish to return to graduate study and are at least two consecutive years past their most recent enrollment in any graduate degree-granting program, regardless of whether the degree was completed or awarded. Below are detailed guidelines to determine eligibility: a) Currently enrolled undergraduate students and Bachelor's degree-holders with no prior enrollment in a graduate degree-granting program (including joint Bachelor's-Master's programs): Undergraduate students on track to receive a Bachelor's degree by the fall of the year following the application (e.g., senior or final year of Bachelor's degree) and Bachelor's degree holders never enrolled in a graduate degree program can apply an unlimited number of times prior to enrolling in a graduate degree program. They must be prepared to enroll in a full-time graduate degree program by fall of the year they are offered a Graduate Research Fellowship. b) Currently enrolled joint Bachelor's-Master's degree students (joint Bachelor's-Master's defined as program in which both degrees are concurrently pursued and awarded as indicated on the transcript): Individuals applying while enrolled in a joint Bachelor's-Master's degree program are considered graduate students who: 1) must have completed three years in the joint program, and; ii) are limited to one application to GRFP; they will not be eligible to apply again as doctoral students. Joint Bachelor's-Master's degree-holders, currently enrolled as first-year doctoral students who have not previously applied as graduate students and enrolled in the doctoral program in the beginning of the academic year immediately following the academic award year of the joint degree, may only apply in the first year of the doctoral program. Individuals holding joint Bachelor's-Master's degrees who did not progress to a doctoral program the beginning of the academic year immediately following the academic award year of the joint degree, must apply as returning graduate students (see above). c) Currently enrolled graduate students: Applicants must not have completed more than one academic year of graduate study as indicated in the academic transcript issued by the Registrar of the universities attended, as of the application deadline. Graduate status is determined to begin on the date indicated on the Registrar-issued transcript and ALL activities after that date will be considered graduate activities. Summer research activities that are part of the graduate degree program (e.g. research credits) will be counted as graduate activities. Participation in non-degree summer activities PRIOR TO graduate degree enrollment as indicated in the Registrar-issued transcript before the start of the fall graduate program is not included in this total. Second-year graduate students are strongly advised to include official Registrar-issued transcripts. If the transcript does not clearly state the start date of graduate degree enrollment, they should also submit a Registrar-issued document confirming the start of graduate degree enrollment. Graduate coursework taken without being enrolled in a graduate degree-granting program is not counted in this limit. d) Currently unenrolled individuals who wish to re-enter graduate study: Applicants who earned a previous Master's or professional degree, or have completed more than one academic year in any graduate degree program (regardless of whether the degree was completed or awarded) are eligible only if they are currently unenrolled and at least two consecutive years past the most recent graduate degree enrollment at the application deadline . Applicants must not have engaged in any graduate coursework during the interruption. Applicants should address the reasons for the interruption in graduate study in the Personal, Relevant Background and Future Goals Statement. 3. Field of Study, Degree Programs, and Proposed Research Fellowships are awarded for graduate study leading to research-based Master's and doctoral degrees in science, technology, engineering or mathematics (STEM) or in STEM education, in eligible Fields of Study listed below: Chemistry Computer and Information Sciences and Engineering Engineering Geosciences Life Sciences Materials Research Mathematical Sciences Physics & Astronomy Psychology Social, Behavioral, and Economic Sciences STEM Education and Learning Research A complete list of eligible Major Fields of Study and their subfields are listed in the Appendix. If awarded, Fellows must enroll in a graduate degree program consistent with the Major Field of Study proposed in their application. A fellowship will not be awarded in a different Major Field of Study from that indicated in the application. Only research-based Master's and doctoral degrees in STEM or STEM education are eligible for GRFP support. Professional degree programs and graduate programs that are primarily course-based with no thesis are ineligible for GRFP support. Within eligible fields of study, there are ineligible areas of study and ineligible areas of proposed research. See below for ineligible areas of study and proposed research. Applications determined to be ineligible will not be reviewed. a) Ineligible degree programs Individuals are not eligible to apply if they will be enrolled in a practice-oriented professional degree program such as medical, dental, law, and public health degrees at any time during the fellowship. Ineligible degree programs include, but are not limited to, MBA, MPH, MSW, JD, MD, PharmD, DVM and DDS. Joint or combined professional degree-science programs (e.g., MD/PhD or JD/PhD) and dual professional degree-science programs are also not eligible. Individuals enrolled in a graduate degree program while on a leave of absence from a professional degree program or professional degree-graduate degree joint program are not eligible. b) Ineligible areas of study Individuals are not eligible to apply if they will be enrolled in graduate study focused on clinical practice, counseling, social work, patient-oriented research, epidemiological and medical behavioral studies, outcomes research (interventions, treatment, or therapies), and health services research. Ineligible study includes pharmacologic, non-pharmacologic, and behavioral interventions for physical or mental disease or disorder, prophylaxis, diagnosis, therapy, or treatment. Research to provide evidence leading to a scientific basis for consideration of a change in health policy or standard of care is not eligible. Graduate study focused on community, public, or global health, or other population-based research including medical intervention trials is also not eligible. c) Ineligible proposed research and limited exceptions to ineligible research: (i) Biological or psychological research for which the goals are directly human disease- or health- related, including the etiology, diagnosis of, and treatment and/or interventions for, physical or mental disease or disorder is not eligible for support, with limited exceptions for applicants in engineering, mathematical, physical, and computer or information sciences with health-related research topics (described below). Research activities using animal models of disease for developing or testing of drugs, procedures, or interventions for treatment of physical or mental disease or disorder are also not eligible. (ii) For applicants applying to degree programs in engineering, mathematical, physical, computer or information sciences disciplines, research with disease- or health-related goals (e.g., etiology-, diagnosis-, or treatment-related) that advance fundamental knowledge in engineering, mathematical, physical, computer or information sciences, is eligible for support. (iii) Certain areas of bioengineering research directed at medical use are eligible. These include research projects in bioengineering to aid persons with disabilities, or to diagnose or treat human disease or disorder, provided they apply engineering principles to problems in medicine while primarily advancing engineering knowledge. Applicants planning to study and conduct research in these areas of bioengineering should select biomedical engineering as the field of study. (iv) Certain areas of materials research directed at development of materials for use in biological or biomedical systems are eligible, provided they are focused on furthering fundamental materials research. (v) Research focused on basic questions in plant pathology is eligible, however, applied studies focused on maximizing production in agricultural plants or impacts on food safety are not eligible. (vi) Research with implications that inform policy is eligible. Research with the expressed intent to influence, advocate for or effect specific policy outcomes is not eligible. Applicants are advised to consult a faculty member, academic advisor, mentor, or other advisor for guidance on preparation of their research plans, and selection of Major Fields of Study and subfields.

V. Application Preparation And Submission Instructions

Fellowship applications must be submitted online using the NSF Graduate Research Fellowship Program Application Module at https://www.research.gov/grfp/Login.do according to the deadline corresponding with the Field of Study selected in the application .

Applications must be received by 5:00 p.m. local time as determined by the applicant's mailing address provided in the application. Applications received after the Field of Study deadline will not be reviewed . Applications submitted to a Field of Study deadline not in alignment with the proposed research plan will not be reviewed.

All reference letters must be submitted online by the reference writers through the NSF Reference Letter System in the Research.gov site ( https://www.research.gov/grfp/Login.do ) and must be received by the reference letter deadline (see Application Preparation and Submission Instructions/C. Due Dates of this Solicitation), of 5:00 p.m. Eastern Time (ET). No reference letters will be accepted via email. Reference letter writers cannot be family members of the applicant. Applicants are required to provide the name and contact information for three (3) reference writers from non-family members. Up to five (5) potential reference letter writers can be provided. Two reference letters from non-family members must be received by the reference letter deadline to be reviewed. If fewer than two reference letters (one or none) are received by the reference letter deadline, the application will not be reviewed.

Applicants must submit the following information through the GRFP Application Module: Personal Information; Education, Work and Other Experience; Transcript PDFs; Proposed Field(s) of Study; Proposed Graduate Study and Graduate School Information; the names and email addresses of at least three reference letter writers; Personal, Relevant Background and Future Goals Statement PDF; and Graduate Research Plan Statement PDF.

Only the information required in the GRFP Application Module will be reviewed. No additional items or information will be accepted or reviewed. Do not provide links to web pages within the application, except as part of citations in the References Cited section. Images must be included in the page limits. Review of the application and reference letters is based solely on materials received by the application and reference letter deadlines. No application materials will be accepted via email.

Applicants must follow the instructions in the GRFP Application Module for completing each section of the application. The statements must be written using the following guidelines:

• standard 8.5" x 11" page size
• 11 point or higher font, except text that is part of an image
• Times New Roman font for all text, Cambria Math font for equations, Symbol font for non-alphabetic characters (it is recommended that equations and symbols be inserted as an image)
• Cited references should include the name of the journal (abbreviations accepted).
• 1" margins on all sides, no text inside 1" margins (no header, footer, name, or page number)
• No less than single-spacing (approximately 6 lines per inch)
• Do not use line spacing options such as "exactly 11 point," that are less than single spaced
• PDF file format only

Compliance with these guidelines will be automatically checked by the GRFP Application Module. Documents that are not compliant will not be accepted by the GRFP Application Module. Applicants are strongly advised to proofread and upload their documents early to ensure they are format-compliant and that non-compliant documents do not delay upload of the complete application for receipt by the deadline. Applications that are not compliant with these format requirements will not be reviewed.

The maximum length of the Personal, Relevant Background and Future Goals Statement is three (3) pages (PDF). The maximum length of the Graduate Research Plan Statement is two (2) pages (PDF). These page limits include all references, citations, charts, figures, images, and lists of publications and presentations. Applicants must certify that the two statements (Personal, Relevant Background and Future Goals Statement, and Graduate Research Plan Statement) in the application are their own original work. As explained in the NSF Proposal and Award Policies and Procedures Guide (PAPPG): "NSF expects strict adherence to the rules of proper scholarship and attribution. The responsibility for proper scholarship and attribution rests with the authors of a proposal; all parts of the proposal should be prepared with equal care for this concern. Authors other than the PI (or any co-PI) should be named and acknowledged. Serious failure to adhere to such standards can result in findings of research misconduct. NSF policies and rules on research misconduct are discussed in the PAPPG, as well as 45 CFR Part 689."

Both Personal and Research Plan statements must address NSF's review criteria of Intellectual Merit and Broader Impacts (described in detail in Section VI). " Intellectual Merit" and "Broader Impacts" sections must be presented in individual separate sections, under individual separate headings, in each of the Personal and Research Plan statements. These separately headed sections cannot be combined into one section or combined with any other section. Applications that do not have separate headings and sections for Intellectual Merit and Broader Impacts will not be reviewed.

Applicants must list their undergraduate institution, and all graduate institutions attended with a start date prior to the fall term in which the application is submitted. Transcripts are required for all degree-granting programs listed. Transcripts may be included for all other institutions listed in the Education section. If the applicant started at the current institution in the fall of the application year and the institution does not provide unofficial or official transcripts prior to completion of the first term, the applicant may submit a class schedule/enrollment verification form in place of a transcript. Second-year graduate students are strongly advised to submit an official transcript. If the transcript or enrollment verification form does not include the graduate enrollment start date, a Registrar-issued document that indicates graduate enrollment start date must be submitted.

At least one transcript must be included for the application to be accepted by the GRFP Application Module.

Transcripts must be uploaded through the GRFP Application Module by the Field of Study application deadline. Applicants should redact personally-identifiable information (date of birth, individual Social Security Numbers, personal financial information, home addresses, home telephone numbers and personal email addresses) from the transcripts before uploading. Transcripts must be uploaded as a PDF to be accepted by the GRFP Application Module. Transcripts must not be encrypted; the GRFP Application Module does not accept encrypted or password-protected transcripts.

Applicants who earned master's degrees in joint Bachelor's-Master's degree programs should submit transcripts that clearly document the joint program. If the transcript does not document the joint program and does not show that the Bachelor's and Master's degrees were conferred on the same date, applicants must upload a letter from the registrar of the institution certifying enrollment in a joint program, appended to the transcript for that institution. Failure to provide clear documentation of a joint program may result in an application being returned without review.

Failure to comply fully with the above requirements will result in the application not being reviewed.

Applications that are incomplete due to missing required transcripts and/or reference letters (fewer than two letters received), or that do not have "received" status in the Application Module on the application deadline for the selected Field of Study) will not be reviewed. Applicants are advised to submit applications early to avoid unanticipated delays on the deadline dates.

Reference Letters

Reference writers cannot be family members of the applicant. Applicants are required to provide the name and contact information for three (3) reference writers from non-family members. Up to five (5) potential reference letter writers can be provided. Two reference letters from non-family members must be received by the reference letter deadline for an application to be reviewed. If fewer than two reference letters (one or none) are received by the reference letter deadline, the application will not be reviewed.

No changes to the list of reference writers are allowed after the application is submitted. Applicants are strongly advised to check the accuracy of email addresses provided for reference writers before submitting their application. Applicants are strongly advised to contact potential reference writers and confirm their willingness to register in Research.gov and to submit a reference letter before the deadline for letters, before submitting their names.

All reference letters must be received through the NSF Reference Letter System by 5:00 p.m. ET (Eastern Time) on the letter submission deadline date (see the deadline posted in GRFP Application Module and in Application Preparation and Submission Instructions/C. Due Dates of this Solicitation). No exceptions to the reference letter submission deadline will be granted. Each letter is limited to two (2) pages (PDF). The GRFP Application Module allows applicants to request up to five (5) reference letters and to rank those reference letters in order of preference for review. If more than three reference letters are received, the top three letters according to ranked preference will be considered for the application. Reference writers will be notified by an email of the request to submit a letter of reference on behalf of an applicant. Reference writers will not be notified of the ranked preference for review provided by the applicant.

To avoid disqualifying an application, reference writers should upload the letter well in advance of the 5:00 p.m. ET deadline. No letters will be accepted via email. Letter writers will receive a confirmation email after successful upload via the GRFP Application Module.

For technical assistance with letter upload: NSF Help Desk: [email protected] ; 1-800-381-1532

Applicants must enter an email address for each reference writer into the GRFP Application Module. An exact email address is crucial to matching the reference writer and the applicant in the GRFP Application Module. Applicants should ask reference writers well in advance of the reference writer deadline, and it is recommended they provide copies of their application materials to the writers.

Applicant-nominated reference writers must first register in Research.gov then upload their letters through the NSF Reference Letter System. Reference letter requirements include:

• Institutional or professional letterhead, if available
• SIGNED by the reference writer, including the name, professional title, department, and institution
• Two (2) page limit (PDF file format)
• Standard 8.5" x 11" page size
• 11-point or higher Times New Roman font and 1" margins on all sides
• Single spaced using normal (100%) single-line spacing

The reference letter should address the NSF Merit Review Criteria of Intellectual Merit and Broader Impacts (described in detail below). It should include details explaining the nature of the relationship to the applicant (including research advisor role), comments on the applicant's potential for contributing to a globally-engaged United States science and engineering workforce, statements about the applicant's academic potential and prior research experiences, statements about the applicant's proposed research, and any other information to aid review panels in evaluating the application according to the NSF Merit Review Criteria.

Application Completion Status

Applicants should use the "Application Completion Status" feature in the GRFP Application Module to ensure all application materials, including reference letters, have been received by NSF before the deadlines. For technical support, call the NSF Help Desk at 1-800-381-1532 or e-mail [email protected] .

Interdisciplinary Applications

NSF welcomes applications for interdisciplinary programs of study and research; however, data on interdisciplinary study is collected for informational purposes only. Interdisciplinary research is defined as "a mode of research by teams or individuals that integrates information, data, techniques, tools, perspectives, concepts, and/or theories from two or more disciplines or bodies of specialized knowledge to advance fundamental understanding or to solve problems whose solutions are beyond the scope of a single discipline or area of research practice" (Committee on Facilitating Interdisciplinary Research, Committee on Science, Engineering, and Public Policy, 2004. Facilitating Interdisciplinary Research . National Academies. Washington: National Academy Press, p. 2).

Applications must be received by the deadline for the first Major Field of Study designated in the application. Applications will be reviewed by experts in the first Major Field of Study listed. If awarded, Fellows will be required to enroll in a degree program consistent with the Major Field of Study in which the application was funded.

Withdrawal of a GRFP application

To withdraw a submitted application, the applicant must withdraw their application using the Withdrawal option in the GRFP Application Module.

Applications withdrawn by November 15 of the application year do not count toward the one-time graduate application limit. Applications withdrawn after November 15 count toward this limit.

Cost Sharing:

Inclusion of voluntary committed cost sharing is prohibited.

Indirect Cost (F&A) Limitations:

No indirect costs are allowed.

Other Budgetary Limitations:

NSF awards $53,000 each year to the GRFP institution to cover the Fellow stipend and Cost of Education allowance for each NSF Graduate Research Fellow "on tenure" at the institution.

The NSF Graduate Research Fellowship Program Fellowship stipend is $37,000 for a 12-month tenure period, prorated in monthly increments of $3,083. The institutional Cost of Education allowance is $16,000 per tenure year per Fellow.

D. Application Submission Requirements

Applicants are required to prepare and submit all applications for this program solicitation through the GRFP Application Module. Detailed instructions for application preparation and submission are available at: https://www.research.gov/grfp/Login.do . For user support, call the NSF Help Desk at 1-800-381-1532 or e-mail [email protected] . The NSF Help Desk answers general technical questions related to the use of the system. Specific questions related to this program solicitation should be referred to the NSF program staff contact(s) listed in Section VIII of this solicitation.

VI. Application Review Information

A. merit review principles and criteria.

Applications are reviewed by disciplinary and interdisciplinary scientists and engineers and other professional graduate education experts. Reviewers are selected by Program Officers charged with oversight of the review process. Care is taken to ensure that reviewers have no conflicts of interest with the applicants. Applications are reviewed in broad areas of related disciplines based on the selection of a Field of Study (see Fields of Study in Appendix). Selection of a Major Field of Study determines the application deadline, the broad disciplinary expertise of the reviewers, and the discipline of the graduate degree program if awarded a Fellowship. Applicants are advised to select the Major Field of Study in the GRFP Application Module (see Fields of Study in Appendix) that is most closely aligned with the proposed graduate program of study and research plan. Applicants who select "Other" must provide additional information describing their studies.

Each application will be reviewed independently in accordance with the NSF Merit Review Criteria using all available information in the completed application. In considering applications, reviewers are instructed to address the two Merit Review Criteria as approved by the National Science Board - Intellectual Merit and Broader Impacts ( NSF Proposal and Award Policies and Procedures Guide ). Applicants must include separate statements on Intellectual Merit and Broader Impacts in their written statements in order to provide reviewers with the information necessary to evaluate the application with respect to both Criteria as detailed below. Applicants should include headings for Intellectual Merit and Broader Impacts in their statements.

The following description of the Merit Review Criteria is provided in Chapter III of the NSF Proposal and Award Policies and Procedures Guide (PAPPG) :

All NSF proposals are evaluated through use of the two National Science Board approved merit review criteria. In some instances, however, NSF will employ additional criteria as required to highlight the specific objectives of certain programs and activities. The two merit review criteria are listed below. Both criteria are to be given full consideration during the review and decision-making processes; each criterion is necessary but neither, by itself, is sufficient. Therefore, proposers must fully address both criteria. (PAPPG Chapter II.D.2.d(i) contains additional information for use by proposers in development of the Project Description section of the proposal.) Reviewers are strongly encouraged to review the criteria, including PAPPG Chapter II.D.2.d(i), prior to the review of a proposal. When evaluating NSF proposals, reviewers will be asked to consider what the proposers want to do, why they want to do it, how they plan to do it, how they will know if they succeed, and what benefits could accrue if the project is successful. These issues apply both to the technical aspects of the proposal and the way in which the project may make broader contributions. To that end, reviewers will be asked to evaluate all proposals against two criteria: Intellectual Merit : The Intellectual Merit criterion encompasses the potential to advance knowledge; and Broader Impacts : The Broader Impacts criterion encompasses the potential to benefit society and contribute to the achievement of specific, desired societal outcomes. The following elements should be considered in the review for both criteria: 1. What is the potential for the proposed activity to: a. Advance knowledge and understanding within its own field or across different fields (Intellectual Merit); and b. Benefit society or advance desired societal outcomes (Broader Impacts)? 2. To what extent do the proposed activities suggest and explore creative, original, or potentially transformative concepts? 3. Is the plan for carrying out the proposed activities well-reasoned, well-organized, and based on a sound rationale? Does the plan incorporate a mechanism to assess success? 4. How well qualified is the individual, team, or organization to conduct the proposed activities? 5. Are there adequate resources available to the PI (either at the home organization or through collaborations) to carry out the proposed activities?

Additionally, Chapter II of the PAPPG states:

Broader impacts may be accomplished through the research itself, through the activities that are directly related to specific research projects, or through activities that are supported by, but are complementary to, the project. NSF values the advancement of scientific knowledge and activities that contribute to achievement of societally relevant outcomes. Such outcomes include, but are not limited to: full participation of women, persons with disabilities, and underrepresented minorities in science, technology, engineering, and mathematics (STEM); improved STEM education and educator development at any level; increased public scientific literacy and public engagement with science and technology; improved well-being of individuals in society; development of a diverse, globally competitive STEM workforce; increased partnerships between academia, industry, and others; improved national security; increased economic competitiveness of the US; and enhanced infrastructure for research and education.

Additional Solicitation Specific Review Criteria

Applicants are reviewed on their demonstrated potential to advance knowledge and to make significant research achievements and contributions to their fields throughout their careers. Reviewers are asked to assess applications using a holistic, comprehensive approach, giving balanced consideration to all components of the application, including the educational and research record, leadership, outreach, service activities, and future plans, as well as individual competencies, experiences, and other attributes. The aim is to recruit and retain a diverse cohort of early-career individuals with high potential for future achievements, contributions, and broader impacts in STEM and STEM education.

B. Application Review and Selection Process

Applications submitted in response to this program solicitation will be reviewed online by Panel Review.

The application evaluation involves the review and rating of applications by disciplinary and interdisciplinary scientists and engineers, and other professional graduate education experts.

The primary responsibility of each reviewer is to evaluate eligible GRFP applications by applying the Merit Review Criteria described in Section VI.A, and to recommend applicants for NSF Graduate Research Fellowships. Reviewers are instructed to review the applications holistically, applying the Merit Review Criteria and noting GRFP's emphasis on demonstrated potential for significant research achievements in STEM or in STEM education. From these recommendations, NSF selects applicants for Fellowships or Honorable Mention, in line with NSF's mission and the goals of GRFP. After Fellowship offers are made, applicants are able to view verbatim reviewer comments, excluding the names of the reviewers, for a limited period of time through the NSF GRFP Module.

VII. Award Administration Information

A. notification of the award.

NSF Graduate Research Fellowship Program applicants will be notified of the outcomes of their applications by early April of the competition year. The NSF publishes lists of Fellowship and Honorable Mention recipients on the GRFP Module at https://www.research.gov/grfp/Login.do in early April.

B. Award Conditions

NSF GRFP awards are made to the institution of higher education at which a Fellow is or will be enrolled. The awardee institution is responsible for financial management of the award and disbursement of Fellowship funds to the Fellow. The NSF GRFP award consists of the award notification letter that includes the applicable terms and conditions and Fellowship management instructions. All Fellowships are made subject to the provisions (and any subsequent amendments) contained in the document NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials .

NSF GRFP awards provide funds for NSF Fellows who have "on tenure" status. The institution will administer the awards, including any amendments, in accordance with the terms of the Agreement and provisions (and any subsequent amendments) contained in the document NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials .

The applicant must accept or decline the Fellowship by the deadline indicated in the award notification letter by logging into the GRFP Module at https://www.research.gov/grfp/Login.do with the applicant User ID and password. Failure to comply with the deadline and acceptance of Fellowship Terms and Conditions by the deadline will result in revocation of the Fellowship offer and render applicants ineligible to re-apply.

Terms and Conditions

Awardees must formally accept and agree to the terms and conditions of the Fellowship award. Acceptance of the Fellowship constitutes a commitment to pursue a graduate degree in an eligible science or engineering field. Acceptance of a Fellowship award is an explicit acceptance of this commitment and assurance that the Fellow will be duly enrolled in a graduate degree program consistent with the field of study indicated in their application by the beginning of the following academic year. Major changes in scope later in the graduate career require NSF approval. NSF Graduate Research Fellowship Program Administrative Guide for Fellows and Coordinating Officials includes the terms and conditions that apply to the Fellowship and subsequent institutional award, in addition to the eligibility requirements (U.S. citizen, national, or permanent resident, degree requirements, and field of study) and Certifications in the application. Each institution, in accepting the funds, also certifies that the Fellows are eligible to receive the Fellowship under these terms and conditions. Fellows are expected to make satisfactory academic progress towards completion of their graduate degrees, as defined and certified by the Fellow's GRFP institution. In cases where Fellows have misrepresented their eligibility, or have failed to comply with the Fellowship Terms and Conditions, the Fellowship will be revoked, and the case may be referred to the Office of the Inspector General for investigation. This action may result in requiring the Fellow to repay Fellowship funds to the National Science Foundation.

An individual may not accept the Graduate Research Fellowship if the individual accepts or is supported by another federal graduate fellowship.

Responsible Conduct of Research

It is the responsibility of the Fellow, in conjunction with the GRFP institution, to ensure that all academic and research activities carried out in or outside the US comply with the laws or regulations of the US and/or of the foreign country in which the academic and/or research activities are conducted. These include appropriate human subject, animal welfare, copyright and intellectual property protection, and other regulations or laws, as appropriate. All academic and research activities should be coordinated with the appropriate US and foreign government authorities, and necessary licenses, permits, or approvals must be obtained prior to undertaking the proposed activities.

In response to the America COMPETES Act, all Fellows supported by NSF to conduct research are required to receive appropriate training and oversight in the Responsible and Ethical Conduct of Research.

Research Involving Human Subjects

Projects involving research with human subjects must ensure that subjects are protected from research risks in conformance with the relevant Federal policy known as the Common Rule ( Federal Policy for the Protection of Human Subjects , 45 CFR 690 ). All projects involving human subjects must either (1) have approval from an Institutional Review Board (IRB) before issuance of an NSF award; or, (2) must affirm that the IRB has declared the research exempt from IRB review, in accordance with the applicable subsection, as established in 45 CFR § 690.104(d) of the Common Rule. Fellows are required to comply with this policy and adhere to the organization's protocol for managing research involving human subjects.

Research Involving Vertebrate Animals

Any project proposing use of vertebrate animals for research or education shall comply with the Animal Welfare Act [7 U.S.C. 2131 et seq.] and the regulations promulgated thereunder by the Secretary of Agriculture [9 CFR 1.1-4.11] pertaining to the humane care, handling, and treatment of vertebrate animals held or used for research, teaching or other activities supported by Federal awards. In accordance with these requirements, proposed projects involving use of any vertebrate animal for research or education must be approved by the submitting organization's Institutional Animal Care and Use Committee (IACUC) before an award can be made. For this approval to be accepted by NSF, the organization must have a current Public Health Service (PHS) Approved Assurance.

Projects involving the care or use of vertebrate animals at an international organization or international field site also require approval of research protocols by the US grantee's IACUC. If the project is to be funded through an award to an international organization or through an individual fellowship award that will support activities at an international organization, NSF will require a statement from the international organization explicitly listing the proposer's name and referencing the title of the award to confirm that the activities will be conducted in accordance with all applicable laws in the international country and that the International Guiding Principles for Biomedical Research Involving Animals (see: https://cioms.ch/ ) will be followed.

Legal Rights to Intellectual Property

The National Science Foundation claims no rights to any inventions or writings that might result from its fellowship or traineeship grants. However, fellows and trainees should be aware that the NSF, another Federal agency, or some private party may acquire such rights through other support for particular research. Also, fellows and trainees should note their obligation to include an Acknowledgment and Disclaimer in any publication.

C. Reporting Requirements

Acknowledgment of Support and Disclaimer

All publications, presentations, and creative works based on activities conducted during the Fellowship must acknowledge NSF GRFP Support and provide a disclaimer by including the following statement in the Acknowledgements or other appropriate section:

"This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. (NSF grant number). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."

Annual Activities Report and Annual Fellowship Status Declaration

Fellows are required to submit an Annual Activities Report and to complete Fellowship Status Declaration by the deadline date each year (deadline notification sent by email), using NSF's GRFP Module. The GRFP Module permits online submission and updating of activity reports, including information on research accomplishments and activities related to broader impacts, presentations, publications, teaching and research assistantships, awards and recognitions, and other scholarly and service accomplishments. These reports must be reviewed and satisfactory progress verified by the faculty advisor or designated graduate program administrator prior to submission to NSF.

Fellows must declare their intent to utilize the Fellowship for the following year using the NSF GRFP Module. Failure to declare Fellowship status by the established deadline violates the terms and conditions for NSF Fellowship awards, and results in termination of the Fellowship.

Program Evaluation

The Division of Graduate Education (DGE) conducts evaluations to provide evidence on the impact of the GRFP on individuals' educational decisions, career preparations, aspirations and progress, as well as professional productivity; and provide an understanding of the program policies in achieving the program goals. Additionally, it is highly desirable to have a structured means of tracking Fellows beyond graduation to gauge the extent to which they choose a career path consistent with the intent of the program and to assess the impact the NSF Graduate Research Fellowship has had on their graduate education experience. Accordingly, Fellows and Honorable Mention recipients may be contacted for updates on various aspects of their employment history, professional activities and accomplishments, participation in international research collaborations, and other information helpful in evaluating the impact of the program. Fellows and their institutions agree to cooperate in program-level evaluations conducted by the NSF and/or contracted evaluators.

GRFP institutions are required to submit the GRFP Completion Report annually. The Completion Report allows GRFP institutions to certify the current status of all GRFP Fellows at the institution. The current status will identify a Fellow as: In Progress, Graduated, Transferred, or Withdrawn. For Fellows who have graduated, the graduation date is a required reporting element.

VIII. Agency Contacts

Please note that the program contact information is current at the time of publishing. See program website ( https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=6201 ) for any updates to the points of contact.

General inquiries regarding this program should be made to:

For questions related to the use of GRFP Application Module, contact:

• NSF Help Desk: telephone: 1-800-381-1532; e-mail: [email protected]

The Graduate Research Fellowship Operations Center is responsible for processing applications and responding to requests for information. General inquiries regarding the Graduate Research Fellowship Program should be made to:

Graduate Research Fellowship Operations Center, telephone: 866-NSF-GRFP, 866-673-4737 (toll-free from the U.S. and Canada) or 202-331-3542 (international). email: [email protected] .

IX. Other Information

The NSF website provides the most comprehensive source of information on NSF Directorates (including contact information), programs and funding opportunities. Use of this website by potential proposers is strongly encouraged. In addition, "NSF Update" is an information-delivery system designed to keep potential proposers and other interested parties apprised of new NSF funding opportunities and publications, important changes in proposal and award policies and procedures, and upcoming NSF Grants Conferences . Subscribers are informed through e-mail or the user's Web browser each time new publications are issued that match their identified interests. "NSF Update" also is available on NSF's website .

Grants.gov provides an additional electronic capability to search for Federal government-wide grant opportunities. NSF funding opportunities may be accessed via this mechanism. Further information on Grants.gov may be obtained at https://www.grants.gov .

Students are encouraged to gain professional experience in other countries through their university graduate programs, and to participate in international research opportunities offered by NSF at: Office of International Science and Engineering (OISE) | NSF - National Science Foundation . Other funding opportunities for students are available at https://www.nsfgrfp.org/ .

About The National Science Foundation

The National Science Foundation (NSF) is an independent Federal agency created by the National Science Foundation Act of 1950, as amended (42 USC 1861-75). The Act states the purpose of the NSF is "to promote the progress of science; [and] to advance the national health, prosperity, and welfare by supporting research and education in all fields of science and engineering."

NSF funds research and education in most fields of science and engineering. It does this through grants and cooperative agreements to more than 2,000 colleges, universities, K-12 school systems, businesses, informal science organizations and other research organizations throughout the US. The Foundation accounts for about one-fourth of Federal support to academic institutions for basic research.

NSF receives approximately 55,000 proposals each year for research, education and training projects, of which approximately 11,000 are funded. In addition, the Foundation receives several thousand applications for graduate and postdoctoral fellowships. The agency operates no laboratories itself but does support National Research Centers, user facilities, certain oceanographic vessels and Arctic and Antarctic research stations. The Foundation also supports cooperative research between universities and industry, US participation in international scientific and engineering efforts, and educational activities at every academic level.

Facilitation Awards for Scientists and Engineers with Disabilities (FASED) provide funding for special assistance or equipment to enable persons with disabilities to work on NSF-supported projects. See the NSF Proposal & Award Policies & Procedures Guide Chapter II.F.7 for instructions regarding preparation of these types of proposals.

The National Science Foundation has Telephonic Device for the Deaf (TDD) and Federal Information Relay Service (FIRS) capabilities that enable individuals with hearing impairments to communicate with the Foundation about NSF programs, employment or general information. TDD may be accessed at (703) 292-5090 and (800) 281-8749, FIRS at (800) 877-8339.

The National Science Foundation Information Center may be reached at (703) 292-5111.

The National Science Foundation promotes and advances scientific progress in the United States by competitively awarding grants and cooperative agreements for research and education in the sciences, mathematics, and engineering. To get the latest information about program deadlines, to download copies of NSF publications, and to access abstracts of awards, visit the NSF Website at . 2415 Eisenhower Avenue, Alexandria, VA 22314 (NSF Information Center) (703) 292-5111 (703) 292-5090   Send an e-mail to: or telephone: (703) 292-8134 (703) 292-5111 Privacy Act And Public Burden Statements The information requested on the application materials is solicited under the authority of the National Science Foundation Act of 1950, as amended. It will be used in connection with the selection of qualified applicants and may be disclosed to qualified reviewers as part of the review process; to the institution the nominee, applicant or fellow is attending or is planning to attend or is employed by for the purpose of facilitating review or award decisions, or administering fellowships or awards; to government contractors, experts, volunteers and other individuals who perform a service to or work under a contract, grant, cooperative agreement, advisory committee, committee of visitors, or other arrangement with the Federal government as necessary to complete assigned work; to other government agencies needing data regarding applicants or nominees as part of the review process, or in order to coordinate programs; and to another Federal agency, court or party in a court or Federal administrative proceeding if the government is a party. Information from this system may be merged with other computer files to carry out statistical studies the results of which do not identify individuals. Notice of the agency's decision may be given to nominators, and disclosure may be made of awardees' names, home institutions, and fields of study for public information purposes. For fellows or awardees receiving stipends directly from the government, information is transmitted to the Department of the Treasury to make payments. See System of Record Notices , NSF-12, "Fellowships and Other Awards," 63 Federal Register 265 (January 5, 1998). Submission of the information is voluntary; however, failure to provide full and complete information may reduce the possibility of your receiving an award. An agency may not conduct or sponsor, and a person is not required to respond to, an information collection unless it displays a valid Office of Management and Budget (OMB) control number. The OMB control number for this collection is 3145-0023. Public reporting burden for this collection of information is estimated to average 12 hours per response, including the time for reviewing instructions. Send comments regarding this burden estimate and any other aspect of this collection of information, including suggestions for reducing this burden, to: Suzanne H. Plimpton Reports Clearance Officer Policy Office, Division of Institution and Award Support Office of Budget, Finance, and Award Management National Science Foundation Alexandria, VA 22314 X. Appendix NATIONAL SCIENCE FOUNDATION GRADUATE RESEARCH FELLOWSHIPS Major Fields of Study Note: Applications are reviewed based on the selection of a Major Field of Study. As an example, CHEMISTRY is a Major Field of Study, and Chemical Catalysis is a subfield under CHEMISTRY. A Fellowship can be accepted only in the Major Field of Study indicated in the application. Thus, an application that indicates CHEMISTRY as the Major Field of Study can be accepted in any subfield in CHEMISTRY, but cannot be accepted in CHEMICAL ENGINEERING, and ENGINEERING is a different Major Field of Study. Selection of a Major Field of Study determines the application deadline, the broad disciplinary expertise of the reviewers who will review the application, and the discipline of the graduate program if the Fellowship is accepted. The subfield category designates specific expertise of the reviewers. Applicants can select "Other" if their specific subfield is not represented in the list of subfields under the Major Field of Study. The "Other" subfield category should be selected only if the proposed subfield is not covered by one of the listed subfields, and should not be used to designate a subfield that is more specific than the subfields listed. Artificial Intelligence Chemical Catalysis Chemical Measurement and Imaging Chemical Structure, Dynamics, and Mechanism Chemical Synthesis Chemical Theory, Models and Computational Methods Chemistry of Life Processes Computationally Intensive Research Environmental Chemical Systems Macromolecular (including Polymer Chemistry), Supramolecular, and Nanochemistry Other (specify) Quantum Information Science Sustainable Chemistry COMPUTER AND INFORMATION SCIENCES & ENGINEERING Accessibility Algorithms and Theoretical Foundations Artificial Intelligence Augmented Reality/Virtual Reality, Graphics, and Visualization Bioinformatics and Bio-inspired Computing Communication and Information Theory Computationally Intensive Research Computer Architecture Computer Security and Privacy Computer Systems Computer Vision Cyber-Physical Systems and Embedded Systems Cybersecurity Data Science, Data Mining, Information Retrieval and Databases Electronic Design Automation and Design of Micro and Nano Computing Systems Fairness, Explainability, Accountability and Transparency in Analytics Formal Methods, Verification, and Programming Languages Human Computer Interaction Information Sciences Machine Learning Natural Language Processing Other (specify) Parallel, Distributed, and Cloud Computing Quantum Information Science Robotics Scientific Computing Social Computing Software Engineering Wired and Wireless Networking ENGINEERING Aeronautical and Aerospace Engineering Agricultural Engineering Artificial Intelligence Bioengineering Biomedical Engineering Chemical Engineering Civil Engineering Computationally Intensive Research Computer Engineering (including Networking) Cybersecurity Data Science Electrical and Electronic Engineering Energy and Power Engineering Environmental and/or Ecological Engineering Industrial Engineering & Operations Research Machine Learning Manufacturing Engineering Materials Science & Engineering (including Polymers, Ceramics, Semiconductors) Mechanical Engineering Microwave Electromagnetics Engineering Nuclear Engineering Ocean Maritime Engineering Optical Engineering Other (specify) Quantum Engineering Quantum Information Engineering Quantum Information Science Robotics, Control, Automation Systems Engineering Wireless Engineering GEOSCIENCES Aeronomy Artificial Intelligence Arctic-Antarctic Atmospheric Chemistry Biogeochemistry Biological Oceanography Chemical Oceanography Climate and Large-Scale Atmospheric Dynamics Coastal Marine Science Coastal Studies Computationally Intensive Research Earth System Science Environmental Science Geobiology Geochemistry Geochronology Geodynamics Geoinformatics Geology Geomorphology Geophysics Glaciology Heliospheric Physics Hydrology Magnetospheric Physics Marine Biology Marine Ecology Marine Geology and Geophysics Ocean Technology (ROVs, AUVs, sensors) Other (specify) Paleoclimate Paleontology and Paleobiology Petrology Physical and Dynamic Meteorology Physical Oceanography Quantum Information Science Remote Sensing Sea Ice Sedimentary Geology Solar Physics Tectonics Volcanology LIFE SCIENCES Artificial Intelligence Biochemistry Bioinformatics and Computational Biology Biophysics Cell Biology Computationally Intensive Research Developmental Biology Ecology Environmental Biology Evolutionary Biology Genetics Genomics Microbial Biology Neurosciences Organismal Biology Other (specify) Physiology Proteomics Quantum Information Science Structural Biology Systematics and Biodiversity Systems and Molecular Biology MATERIALS RESEARCH Artificial Intelligence Biomaterials Ceramics Chemistry of Materials Computationally Intensive Research Electronic Materials Materials Theory Metallic Materials Other (specify) Photonic Materials Physics of Materials Polymers Quantum Information Science MATHEMATICAL SCIENCES Algebra, Number Theory, and Combinatorics Analysis Applied Mathematics Artificial Intelligence Biostatistics Computational and Data-enabled Science Computational Mathematics Computational Statistics Computationally Intensive Research Geometric Analysis Logic or Foundations of Mathematics Mathematical Biology Other (specify) Probability Quantum Information Science Statistics Topology PHYSICS & ASTRONOMY Artificial Intelligence Astronomy and Astrophysics Atomic, Molecular and Optical Physics Computationally Intensive Research Condensed Matter Physics Nuclear Physics Other (specify) Particle Physics Physics of Living Systems Plasma Physics Quantum Information Science Solid State Physics Theoretical Physics Artificial Intelligence Cognitive Neuroscience Cognitive Psychology Comparative Psychology Computational Psychology Computationally Intensive Research Developmental Psychology Industrial/Organizational Psychology Neuropsychology Other (specify) Perception and Psychophysics Personality and Individual Differences Physiological Psychology Psycholinguistics Quantitative Psychology Quantum Information Science Social/Affective Neuroscience Social Psychology Anthropology, other (specify) Archaeology Artificial Intelligence Biological Anthropology Communications Computationally Intensive Research Cultural Anthropology Cybersecurity Decision Making and Risk Analysis Economics Geography History and Philosophy of Science International Relations Law and Social Science Linguistic Anthropology Linguistics Medical Anthropology Other (specify) Political Science Public Policy Quantum Information Science Science Policy Sociology Urban and Regional Planning STEM EDUCATION AND LEARNING RESEARCH Artificial Intelligence Computationally Intensive Research Engineering Education Mathematics Education Other (specify) Quantum Information Science Science Education Technology Education NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT Posted on: 10 September 2024 #NOVAID-B253 - ANNOUNCEMENT FOR A SCHOLARSHIP FOR A PHD STUDENT Job information, offer description. Work Plan: The tasks to be carried out are part of the “PR0805 WASTE@NOVA” project at MARE NOVA, which involves three major tasks: (1) literature review, selection of case studies, identification of stakeholders to be involved in the project, planning of field surveys, questionnaires, interviews, and workshops; (2) conducting questionnaires, interviews, field surveys, and workshops, and assessment of the results; (3) development of a Roadmap for the Implementation of the Right to Repair of WEEE (Waste Electrical and Electronic Equipment) in Portugal. The scholarship holder will participate in the first task and is expected to achieve the following objectives by the end of the scholarship period: a) a scientific review article on the Right to Repair topic, prepared for submission to a peer-reviewed journal; b) selection and identification of case studies and stakeholders to be involved in the project; c) planning of field surveys, questionnaires, interviews, and workshops 5. Workplace: The workplace is at MARE NOVA, located in the Department of Environmental Sciences and Engineering at NOVA School of Science and Technology, NOVA University Lisbon, under the scientific supervision of Professor Graça Martinho. The contracting entity will be NOVA.id.FCT – Associação para a Inovação e Desenvolvimento da FCT 6. Fellowship duration: The scholarship will last for 3 months, with a planned start in October 2024. The scholarship contract may be renewed within the duration of the project. 11. Application deadline and form of application submission: The application period is open from 11/09/2024 to 24/09/2024. Documentation to be provided in application seat: Applications must be formalized, obligately, by sending the following documents: Detailed Curriculum Vitae, motivation letter, certificate of qualifications, declaration of honor that you meet the admission requirements and other proof documents deemed relevant, namely the proof proof of enrollment in a Doctoral Program in Environment. Application form of applications: Applications must be referred to email [email protected] (Prof. Graça Martinho), indicating in the subject “Scholarship for a PhD Student – MARE NOVA”. Documentation to be provided when contracting: Original proof of enrollment in a doctoral program in an environment 4. Applicable legislation and regulations:: Law No. 40/2004, of August 18, amended and republished by Decree-Law No. 202/2012 of August 27 (Statute of the Scientific Research Fellow) and amended by Decree-Law No. 233/2012 of October 29, by Law No. 12 /2013 of 29 January, by Decree-Law No. 89/2013, of 9 July and Decree-Law No. 123/2019, of 28 August; Regulation of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT ( https://www.novaidfct.pt/regulamento-de-bolsas-de-investigacao-da nova-id-fct/); Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force ( https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 Where to apply Requirements. 2. Recipients profile/category: Mandatory requirements: a) Holder of a Master's degree in Environmental Engineering, with a final grade of 15 or higher; b) Enrolled in a Doctoral Program in the scientific field of Environment; c) Demonstrated experience in organizing participatory workshops; d) Evidence of collaboration in waste management projects with national entities in the waste sector; e) Proficiency in the Portuguese language. Preferred factors: fluency in English and immediate availability Additional Information 7. Monthly maintenance allowance amount: The scholarship amount is €1,259.64, based on the scholarship value table set by FCT, I.P. in the country (Portugal), with payments made monthly by bank transfer 8. Selection criteria: The selection methods to be used are as follows: a) Curriculum evaluation, on a scale of 0 to 100 points, with a weighting of 40%; b) Previous experience in the required research area, on a scale of 0 to 100 points, with a weighting of 55%; c) Motivation letter, on a scale of 0 to 100 points, with a weighting of 5%. Candidates who do not meet all the mandatory requirements will be excluded from the selection process. 9. Composition of the Selection Jury: Professor Graça Martinho (President); Professor Lia Vasconcelos (1 st effective member); Dr. Mário Ramos (2nd effective member); Profª Doutora Paula Sobral (1st substitute member); Profª Doutora Ana Silveira (2 nd substitute member).  10. Form of advertising/notification of results: The evaluation results proposed by the juri will be notified, up to 90 days after the deadline for the submission of applications, by email, of the results proposed by the jury, with access to the minutes and the final ranking list. After notification, candidates will have 10 working days to comment on the draft decision (prior hearing of interested parties, under the terms of the Code of Administrative Procedure). The final decision will be taken after the expiry of the prior hearing period, again notified to all candidates by e-mail. Of this final decision the candidates can file a complaint within 15 working days (to the e-mail address used for the notification), or an hierarchical appeal, within 30 working days, addressed to NOVA.ID.FCT's Board through the address [email protected] . 12. Drafts: The drafts of: i) fellowship contract, ii) final report to be presented by the fellowship holder, iii) final report to be presented by the scientific advisor, and; iv) declaration on honor, can all be found on NOVA.id.FCT website Work Location(s) Share this page. We have 27 Bioinformatics (fully funded) PhD Projects, Programmes & Scholarships for UK Students Biological Sciences All locations Institution All Institutions All PhD Types I am a UK student Bioinformatics (fully funded) PhD Projects, Programmes & Scholarships for UK Students 10+ fully funded phd positions at the imprs for molecular organ biology, funded phd programme (students worldwide). Some or all of the PhD opportunities in this programme have funding attached. Applications for this programme are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full programme details for further information. Germany PhD Programme A German PhD usually takes 3-4 years. Traditional programmes focus on independent research, but more structured PhDs involve additional training units (worth 180-240 ECTS credits) as well as placement opportunities. Both options require you to produce a thesis and present it for examination. Many programmes are delivered in English. Max Planck Research Programme Max Planck Research Programmes are structured PhD opportunities set up by the Max Planck Society, an independent non-profit German research organisation. Max Planck Institutes and universities collaborate to offer interdisciplinary and international PhD opportunities providing high standards of training and support as well as generous funding. Fully funded PhD positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics International phd programme. International PhD programs are often designed for international students. Your PhD will usually be delivered in English, though some opportunities to gain and use additional language skills might also be available. Students may propose their own PhD topics or apply for advertised projects. 15 fully funded PhD positions in molecular technologies and systems medicine Austria phd programme. An Austrian PhD usually takes 3-4 years. Most students complete their projects within broader PhD programmes incorporating a curriculum of courses and training worth a certain number of ECTS credits as well as research towards an original thesis. This will be presented for a public examination by two academic experts. Most programmes are delivered in German, but some universities offer English-language teaching. 5 Fully funded PhD positions in biology, biochemistry, life science, chemistry, medicine, computer science or related fields Fully funded phd position: genomics informed animal breeding for climate resilience in aquaculture (based in new zealand), phd research project. PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches. Funded PhD Project (Students Worldwide) This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information. Fully Funded PhD Program Opportunity Fully funded phd studentship in mechanisms of cancer heterogeneity and drug sensitivity, phd student positions at international max planck research school for molecules of life, munich, analysis of pathogen determinants recognized by the hypervariable immune receptor dscam, competition funded phd project (students worldwide). This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information. Computational Design of Small Molecules to Prevent the Early Formation of Multispecies Biofilms Funded phd project (uk students only). This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions. GW4BioMed2 MRC DTP PhD studentship - Neonatal Sepsis Detection Automation for Neonatal Intensive Care Units Ukri cdt in ai for biomedical innovation, ukri centre for doctoral training. UKRI Centres for Doctoral Training conduct research and training in priority topics related to Artificial Intelligence. They are funded by the UK Government through UK Research and Innovation. Students may receive additional training and development opportunities as part of their programme. Gene therapy and cardiovascular disease Development of enzymes for the sustainable synthesis of pharmaceutically relevant amides under aqueous conditions.. FindAPhD. Copyright 2005-2024 All rights reserved. Unknown    ( change ) Have you got time to answer some quick questions about PhD study? Select your nearest city You haven’t completed your profile yet. To get the most out of FindAPhD, finish your profile and receive these benefits: Monthly chance to win one of ten £10 Amazon vouchers ; winners will be notified every month.* The latest PhD projects delivered straight to your inbox Access to our £6,000 scholarship competition Weekly newsletter with funding opportunities, research proposal tips and much more Early access to our physical and virtual postgraduate study fairs Or begin browsing FindAPhD.com or begin browsing FindAPhD.com *Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw. Create your account Looking to list your PhD opportunities? Log in here . Filtering Results Contact QUT Contact QUT Making advanced AI tools accessible to sports practitioners (PhD scholarship) Scholarship details, study levels, student type. Future students and Current students Data science, Mathematics, Science, Science, technology and engineering and mathematics Eligibility criteria Indigenous Australian, Academic performance, Struggling financially, From regional, rural or remote areas, Sporting excellence, Women and From a non-English speaking background Citizenship Australian or New Zealand Application dates What you'll receive. You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD.  The duration includes an extension of up to six months (PhD). This is the full-time, tax exempt rate which will index annually. You will receive a tuition fee offset/sponsorship, covering the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field. PhD students will receive $20,840 in allowances (training, travel, thesis). Eligibility You need to meet the entry requirements for a  QUT Doctor of Philosophy , including any English language requirements. Enrol as a full-time, internal student (unless approval for part-time and/or external study is obtained). You must be an Australian or New Zealand citizen, Australian permanent resident, or a person entitled to stay in Australia, or enter and stay in Australia, without any limitation as to time. How to apply If you are (will be) a graduate (recently or otherwise) from any discipline, complete an expression of interest (EOI).  The steps are: Complete the EOI available at  Next Generation Graduates Program (NGGP): Sports Data Science & AI - Centre for Data Science (qut.edu.au) Peruse the projects on offer at  Next Generation Graduates Program (NGGP): Our Projects - Centre for Data Science (qut.edu.au) .  Those that have already been awarded have a student name listed against them. Email your top three project preferences, along with your CV and academic record, to  [email protected] .  We will be in touch with next steps. About the scholarship AI for holistic athlete performance and wellbeing / Data driven technological innovations for health and performance Sports research objective/question Understand how practitioners (sports scientist, bio-mechanists, etc) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use of AIS's existing cloud-based 'pipelines' product, which allows sporting practitioners to develop computer vision (CV) applications in a no-code environment. Discover the right scholarship for you Stay connected. Get just the information you want on courses, scholarships and events. By submitting this form, you understand that QUT is collecting your personal information. Please refer to the Privacy Collection Notice for more information. 176 IMAGES Fully-funded International PhD Scholarship in Computational PhD Scholarship in Bioinformatics and Machine Learning Doing a PhD in Bioinformatics International PhD Fellowships in Microbial Genomics, Metagenomics and Everything you need to know about the bioinformatics course PhD in Bioinformatics: PhD Admission VIDEO PhD Bioinformatics and AI/ML_ Tips for Starting #phd #phdadmissions #phdlatestnews #bioinformatics Bioinformatics Course_ Lecture 5_Part 1 |RNA-seq differential expression analysis Bioinformatics Course_ Lecture 7_Part 1 Latest Bioinformatics Scientist Job Bioinformatics Projects Ideas| NGS Data Analysis University at Buffalo PhD Program in Biomedical Sciences COMMENTS PhD Program The Department of Biomedical Informatics offers a PhD in Biomedical Informatics in the areas of Artificial Intelligence in Medicine (AIM) and Bioinformatics and Integrative Genomics (BIG).. The AIM PhD track prepares the next generation of leaders at the intersection of artificial intelligence and medicine. The program's mission is to train exceptional computational students, harnessing ... Bioinformatics PhD Projects, Programmes & Scholarships We have 236 Bioinformatics PhD Projects, Programmes & Scholarships. A Bioinformatics PhD would provide you with the opportunity to work on an extended, in-detail project through the analysis of large sets of data. Bioinformatics programmes tend to be mostly 'dry' work with limited (if any) time in the laboratory conducting experiments. BeGenomics: PhD positions in Bioinformatics and Genomics PhD Scholarship in Pathogen Genomics. Applications are invited from suitably qualified candidates for a full-time funded PhD scholarship starting in September 2024, affiliated to the Discipline of Bioinformatics, School of Mathematical and Statistical Sciences, at the University of Galway. University of Galway. PhD in Bioinformatics » Academics The PhD in Bioinformatics program offers unique interdisciplinary training for graduate students in the science, engineering, medicine, and ethics of twenty-first-century cell biology jointly through the Faculty of Computing & Data Sciences. The program aims to prepare top researchers for careers in both academia and industry in the areas of ... Bioinformatics and Integrative Genomics (BIG) PhD Track at HMS DBMI Program Manager, PhD in Biomedical Informatics. Email Cathy Haskell. 617-432-7856. PhD Program. Overview The Bioinformatics and Integrative Genomics (BIG) PhD track is an interdisciplinary program that trains future leaders in the field of bioinformatics and genomics. Our mission is to provide our graduate students with the tools to conduct ... Bioinformatics (fully funded) PhD Projects, Programmes & Scholarships 5 Fully funded PhD positions in biology, biochemistry, life science, chemistry, medicine, computer science or related fields. Johannes Gutenberg University - Mainz. BioNTech and TRON (Translational Oncology Mainz) are leading institutions in the field of immunotherapy. Our joint international PhD Program (ATLAS) is looking for talented, junior ... Bioinformatics (fully funded PhD for international students) PhD 5 Fully funded PhD positions in biology, biochemistry, life science, chemistry, medicine, computer science or related fields. Johannes Gutenberg University - Mainz. BioNTech and TRON (Translational Oncology Mainz) are leading institutions in the field of immunotherapy. Our joint international PhD Program (ATLAS) is looking for talented, junior ... Harvard Medical School Bioinformatics and Integrative Genomics The HMS Department of Biomedical Informatics offers a PhD in Biomedical Informatics in the areas of Bioinformatics and Integrative Genomics (BIG) and Artificial Intelligence in Medicine (AIM). The Bioinformatics and Integrative Genomics PhD track led by Program Director Dr. Peter Park and Associate Director Dr. Maha Farhat, provides students with the tools to conduct original research and the ... PhD in Bioinformatics Students entering the PhD program will have completed a Master of Bioinformatics (M.Binf.), an M.Sc. in Bioinformatics, or a master's in a related discipline with a minimum average of A- (80% and higher). Applicants without a master's degree (i.e., direct entry) will be reviewed on a case-by-case basis by the Bioinformatics graduate program ... PhD Program » Bioinformatics PhD Program. Prospective students who have completed a bachelor's degree may apply for admission to the PhD program. The PhD requires a total of 64 credits, consisting of lecture, laboratory and seminar courses and research credits. While there is a set of required core courses, the precise course of study will be determined in consultation ... PhD/MPhil Bioinformatics Our PhD/MPhil Bioinformatics programme enables you to undertake a research project that offers training in state-of-the-art computational approaches to study an aspect of biological and/or biomedical science. ... We also have other internal awards and scholarships for the most outstanding applicants from within the UK and overseas. Scholarships for a PhD in Bioinformatics & Biostatistics Carlos Quijano Graduate Scholarship. Merit-based. Read more about eligibility. University of Groningen. Groningen, Netherlands. 1 of 43. Discover exclusive Bioinformatics & Biostatistics scholarships for PhD students. Unlock financial support for your Bioinformatics & Biostatistics studies with PhDportal. 197 bioinformatics PhD positions PhD position in bioinformatics and artificial intelligence (DDLS Research School) One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is centered around DNA sequence analysis, inference in. Best PhDs in Bioinformatics The PhD funding options that students can take advantage of to pay for a PhD in Bioinformatics degree program include scholarships, graduate assistantships, fellowships, and tuition waivers. Some institutions, like the University of Utah and Johns Hopkins University, offer enrolled students fully-funded tuition, a yearly stipend, and health ... Fellowships / Financial Aid » Bioinformatics The BU Bioinformatics Graduate Program receives funding from the NIH Institutional Training Grant in Bioinformatics and Computational Biology (T32GM100842). ... Merit Scholarships. Tuition assistance is available to master's students in the form of BU Bioinformatics Program Merit Scholarships, which provide partial tuition to full-time MS ... 1,107 phd-bioinformatics positions PhD fellowship in Bioinformatics /Data Science/Machine Learning at Department of Drug Design and Pharmacology. PhD fellowship commencing 1 October 2024 or as soon as possible thereafter. Principal supervisor Associate Professor Albert J. Kooistra, Department of Drug Design and Pharmacology E-mail (preferred. Computational Biology PhD The Computational Biology Graduate Group facilitates student immersion into UC Berkeley's vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Google PhD fellowship program The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Google's mission is to foster inclusive ... 161 bioinformatics PhD scholarships PhD fellowship in Bioinformatics /Data Science/Machine Learning at Department of Drug Design and Pharmacology. dedicated to the development and application of cutting-edge and data-driven technologies to advance network medicine. The DSDD group has a broad expertise encompassing structural bioinformatics. Bioinformatics Scholarships for International Students in 2024 New Zealand. 04/30/2025. Learn More. This is a Bachelor, Masters, PhD scholarships for International Students at University of Otago, New Zealand. Students interested in All Subjects are advised to apply for University of Otago in New Zealand Global Scholarships 2025 (Funding up to $15,000). Expires in71 Days. Bioinformatics & Biostatistics scholarships in United Kingdom King's College London Marshall Scholarship. Merit-based. Read more about eligibility. King's College London. London, United Kingdom. 1 of 13. Find exclusive scholarships for international PhD students pursuing Bioinformatics & Biostatistics studies in United Kingdom. Search and apply online today. CREATE PhD Programme for African Researchers 2025 The CREATE PhD Programme will provide 25 doctoral fellowships to UK professional body registered health professionals who will register for their PhD at one of the five UK Partner Institutions and conduct their research at one of six African Partner Institutions.. In addition, the CREATE PhD Programme will also recruit and support an equal number of fellows based in African partner countries ... 905 bioinformatics-phd positions PhD fellowship in Bioinformatics /Data Science/Machine Learning at Department of Drug Design and Pharmacology. PhD fellowship commencing 1 October 2024 or as soon as possible thereafter. Principal supervisor Associate Professor Albert J. Kooistra, Department of Drug Design and Pharmacology E-mail (preferred. NSF 24-591: NSF Graduate Research Fellowship Program (GRFP) Eligible applicants: 1) current undergraduates or Bachelor's degree holders never enrolled in a degree-granting graduate program, who will be prepared to attend graduate school in fall of the award year; 2) current graduate students with no more than one academic year completed according to institution's academic calendar of any degree-granting ... QUT Modelling cumulative physical load during performance and relationships to injury (PhD scholarship) Future and current student scholarship Work with a team of leading researchers, to undertake your own innovative research in and across the field. ... PhD students will receive $20,840 in allowances (training, travel, thesis). #Novaid-b253 6. Fellowship duration: The scholarship will last for 3 months, with a planned start in October 2024. The scholarship contract may be renewed within the duration of the project. 11. Application deadline and form of application submission: The application period is open from 11/09/2024 to 24/09/2024. Bioinformatics (fully funded) PhD Projects, Programmes & Scholarships 5 Fully funded PhD positions in biology, biochemistry, life science, chemistry, medicine, computer science or related fields. Johannes Gutenberg University - Mainz. BioNTech and TRON (Translational Oncology Mainz) are leading institutions in the field of immunotherapy. Our joint international PhD Program (ATLAS) is looking for talented, junior ... Making advanced AI tools accessible to sports practitioners (PhD As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field. PhD students will receive $20,840 in allowances (training, travel, thesis). assignment essay homework paper phd report review speech thesis