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University of Exeter

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PhD Studentship - How Pathogens Emerge: Integrating Large Language Models with Comparative Genomics to Uncover the Zoonotic Potential of Bacteria University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Oct 21, 2026

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Data Science
Microbiology
Biology
Comparative Genomics
Medical Science
Statistics
Bioinformatic
Large Language Models

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About this position

[UK/Home tuition fees, a doctoral stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated each year), and up to £5,000 per annum for research training and support costs.]

The University of Exeter is offering a funded PhD studentship through the GW4 BioMed3 MRC Doctoral Landscape Programme on an interdisciplinary project titled How Pathogens Emerge: Integrating Large Language Models with Comparative Genomics to Uncover the Zoonotic Potential of Bacteria.

This project addresses a major question in infectious disease research: why some bacterial pathogens emerge from animal hosts and cross into human populations. The research will combine AI large language models with comparative bacterial genomics to extract infection context from hundreds of thousands of scientific publications and identify molecular signatures associated with host switching. The goal is to develop biologically interpretable models of zoonotic emergence and support future tools for human pathogen surveillance.

The studentship is part of a wider competitive cohort of up to 18 MRC-funded studentships across the GW4 BioMed3 Doctoral Landscape Programme. Funding includes UK/Home tuition fees, a doctoral stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated each year), and up to £5,000 per year for research training and support costs. The programme states that the studentships are available to UK and international students, and the start date is October 2027.

Training for the successful applicant will span bioinformatics, data science, and microbiology, making this an excellent fit for candidates interested in computational biology, bacterial evolution, pathogen genomics, and translational infectious disease research. The project is particularly relevant to students who want to work at the interface of artificial intelligence and life sciences.

Applications should be submitted through the Exeter funding page using the Apply button. The deadline listed on the posting is 21 October 2026.

Funding details

Available

What's required

No specific entry requirements are stated in the posting. The project offers training in bioinformatics, data science, and microbiology, and is available to UK and international students; applicants should be prepared for interdisciplinary research combining AI, comparative genomics, and infectious disease science.

How to apply

Apply via the 'Apply' button on the university funding page. Submit your application before the deadline of 21 October 2026. The studentship is part of the GW4 BioMed3 MRC Doctoral Landscape Programme competition, so ensure all required materials are completed for consideration.

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