Daniel Jeffares
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Fully Funded PhD in Bioinformatics and Viral Surveillance for Pandemic Prediction University of York in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD covering tuition fees plus a tax-free annual stipend at standard UKRI rates.
Country
United Kingdom
University
University of York
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About this position
University of York is advertising a fully funded PhD opportunity in bioinformatics, global health, and virology focused on predicting the next pandemic by enhancing viral surveillance. The project is designed for a student interested in combining computational approaches with laboratory-based research to detect dangerous viral variants earlier and improve preparedness for future outbreaks.
The research spans computational biology, structural biology, evolutionary analysis, and high-throughput screening. Students will work with advanced AI structural tools such as AlphaFold, perform 3D protein modelling, and analyze how viruses may change in ways that affect immune evasion and transmissibility. The post highlights work on pathogens relevant to global health, including SARS-CoV-2, H5N1, and Mpox.
The project is supervised by Dr Daniel Jeffares, Prof Gavin Wright, and Dr Jon Agirre at the University of York. It is aimed at graduates with a 1st or 2:1 in Bioinformatics, Biochemistry, Genetics, Computational Biology, or a related quantitative bioscience discipline. The advert specifies that this opportunity is for UK students only.
Funding is stated as fully funded, covering tuition fees and providing a tax-free annual stipend at standard UKRI rates. The start date is given as October 2026. Interested applicants should use the FindAPhD advert to review the full project description and application instructions, then submit materials through the linked application route.
Funding details
Fully funded PhD covering tuition fees plus a tax-free annual stipend at standard UKRI rates.
What's required
Applicants should be UK students only and have, or be on track for, a 1st or 2:1 degree in Bioinformatics, Biochemistry, Genetics, Computational Biology, or a related quantitative bioscience background. The project is intended for candidates with an interest in bioinformatics, global health, structural biology, evolutionary analysis, and combining dry-lab and wet-lab skills.
How to apply
Read the full project details at the FindAPhD link and apply through the application instructions provided there. Confirm eligibility as a UK student and prepare your academic transcript/CV and any materials requested on the advert.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Prof
United Kingdom
Research Interests
Cell Biology
Immunology
Spermatogenesis
Macrophage Biology
Immune Response
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.