Publisher
source

University of Cambridge

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PhD in Preventing Multiple Sclerosis: AI-Driven Identification of Modifiable Exposures Using OpenSAFELY and Target-Trial Emulation University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project. Funding is available for the October 2027 entry cycle, with Cambridge Trust and Gates Cambridge funding deadlines noted; Gates US round 1 closes 2026-10-14 and Cambridge Trust/Gates Cambridge round 2 deadline is 2026-12-08. Funding is not available for Lent or Easter 2027 places, so other funding would be needed for those starts.

Deadline

Dec 8, 2026

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Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Biology
Artificial Intelligence
Precision Medicine
Neuropsychology
Medical Science
Causal Inference
Salud Pública
Real-world Data
Statistics
ML

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About this position

PhD opportunity at the University of Cambridge in the Department of Clinical Neurosciences on preventing multiple sclerosis using AI, machine learning, causal inference, and target-trial emulation.

The project, supervised/led by Dr Will Brown and connected with the Cambridge Clinical MS Research Group, the Cambridge Centre for AI in Medicine, and The University of Bristol (Jonathan Sterne), will use OpenSAFELY longitudinal primary care data from around 58 million people in England to identify modifiable environmental, lifestyle, and therapeutic exposures associated with MS risk.

Research themes include multiple sclerosis prevention and epidemiology, artificial intelligence and machine learning, causal inference, population-scale electronic health records, real-world data, and precision/preventive medicine.

This is a competition-funded PhD project open to students worldwide. The post highlights funding routes including Cambridge Trust and Gates Cambridge, with deadlines of 2026-10-14 for Gates US round 1 and 2026-12-08 for Cambridge Trust/Gates Cambridge round 2. Funding is not available for Lent or Easter 2027 entry, so alternative funding would be needed for those starts.

To apply, register your interest on the FindAPhD page and follow the University of Cambridge application process. Be sure to indicate all funding competitions you are eligible for before the stated deadlines.

Funding details

Competition-funded PhD project. Funding is available for the October 2027 entry cycle, with Cambridge Trust and Gates Cambridge funding deadlines noted; Gates US round 1 closes 2026-10-14 and Cambridge Trust/Gates Cambridge round 2 deadline is 2026-12-08. Funding is not available for Lent or Easter 2027 places, so other funding would be needed for those starts.

What's required

Applicants should be interested in multiple sclerosis prevention, epidemiology, artificial intelligence/machine learning, causal inference, target-trial emulation, and analysis of population-scale electronic health records and real-world data. The project is open to students worldwide; no specific degree class, language score, or prior experience is explicitly stated in the post.

How to apply

Register your interest through the FindAPhD page and submit your application to the University of Cambridge. Make sure to indicate all funding schemes you are eligible for before the relevant funding deadlines. Check the Gates and Cambridge funding pages for the round deadlines mentioned in the post.

More information can be found here

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