Publisher
source

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
Data Science
Biology
Precision Medicine
Personalized Medicine
Medical Science
Salud Pública
Type 2 Diabetes
Statistics
Statistical Modelling
Bioinformatic
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), with up to £5,000 per annum additional research training and support funding.]

PhD Studentship at the University of Exeter on Advancing Bayesian machine learning methods for precision medicine applications in Type 2 diabetes.

This funded doctoral project sits within the GW4 BioMed3 Doctoral Landscape Programme and focuses on developing Bayesian statistical and machine learning methods for precision medicine. The research is aimed at addressing key challenges in large-scale observational electronic healthcare record data, with the methods then applied to real-world diabetes treatment selection. The project is especially relevant to students interested in statistical learning, personalised medicine, and health data science.

The studentship is one of up to 18 MRC-funded opportunities across the GW4 BioMed3 partnership. It is advertised as a four-year award with a start date of October 2027. Funding includes UK/Home tuition fees and a stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated each year). In addition, up to £5,000 per year is available for research training and support costs.

Eligibility is stated as open to UK and international students. The project is competitive within the broader GW4 BioMed3 MRC Doctoral Landscape Award cohort, so applicants should be prepared for a selection process among multiple biomedical projects.

The application deadline is 21 October 2026. If you are interested in Bayesian methods, machine learning, electronic health records, and precision medicine for Type 2 diabetes, this studentship offers a strong interdisciplinary doctoral training environment at the University of Exeter.

Funding details

Available

What's required

Available to UK and International students. The project is part of a competitive GW4 BioMed3 MRC Doctoral Landscape Programme studentship competition; no specific GPA, degree classification, or language-test threshold is stated in the posting.

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 studentships, so apply early and ensure all required materials are complete.

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