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University of Exeter

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PhD Studentship: Advancing Bayesian Machine Learning Methods for Precision Medicine Applications in Type 2 Diabetes 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
Biology
Mathematics
Predictive Modeling
Precision Medicine
Medical Science
Salud Pública
Type 2 Diabetes
Statistics
Statistical Modelling
Electronic Health Record

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About this position

[UK/Home tuition fees plus a doctoral stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated each year). Additional research training and support funding of up to £5,000 per annum is available. The studentship is funded for four years and is open to UK and International students.]

The University of Exeter is offering a PhD studentship through the GW4 BioMed3 Doctoral Landscape Programme on advancing Bayesian machine learning methods for precision medicine applications in Type 2 diabetes. This is a four-year funded doctoral opportunity starting in October 2027, and it forms part of a competitive cohort of up to 18 MRC-funded studentships across the GW4 BioMed3 partnership.

The project focuses on an important challenge in modern healthcare: treatment effectiveness can vary substantially between individuals. In Type 2 diabetes, this means that different patients may respond better to different therapies. The research will develop and apply recent advances in Bayesian statistical and machine learning methodology to address key modelling challenges in large-scale observational electronic healthcare record data. The work is designed around real-world diabetes treatment selection and precision medicine, with strong relevance to biomedical data science, clinical decision support, and healthcare analytics.

Funding is substantial and includes UK/Home tuition fees plus a doctoral stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated each year). The programme also provides additional research training and support funding of up to £5,000 per annum. The advert states that the studentship is available to UK and International students, although it is noted that the specific funding package listed includes UK/Home tuition fees.

This opportunity is well suited to applicants interested in Bayesian inference, machine learning, statistical modelling, electronic health record analysis, and precision medicine in a clinically important disease area. The studentship is part of a wider doctoral landscape award competition, so applicants should be prepared to compete across the full set of BioMed3 projects.

Deadline: 21 October 2026.

Application: Use the University of Exeter funding page and follow the project and programme instructions provided in the listing.

Funding details

Available

What's required

Applicants should be eligible for a PhD studentship and be able to undertake a four-year doctoral project in biomedical data science. The advert indicates the studentship is available to UK and International students. Specific academic or language requirements are not stated in the provided text.

How to apply

Apply via the University of Exeter funding page using the application link provided. Submit your application by 21 October 2026. The project competes with other GW4 BioMed3 MRC Doctoral Landscape studentships, so follow the programme instructions carefully.

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