University of Southampton
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3 days ago
PhD in Trustworthy AI for Personalised Disease Risk Prediction using Genetic and Clinical Data University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. The page indicates funding is available through the competition-funded route; no stipend amount or tuition details are stated in the post text.
Deadline
Jun 17, 2027
Country
United Kingdom
University
University of Southampton

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About this position
PhD project at the University of Southampton on Trustworthy AI for personalised disease risk prediction using genetic and clinical data.
This research sits at the intersection of computer science, statistics, genetic epidemiology, and medical science. The project aims to develop uncertainty-aware statistical and machine learning methods for personalised disease risk prediction, combining genetic information, clinical measurements, and potentially longitudinal health data.
Key research themes include multimodal risk prediction, uncertainty quantification, and reliable decision support. The primary application area is metabolic diseases, especially type 2 diabetes and obesity-related complications. You will work with population-based and clinical datasets, simulation studies, and methods for assessing prediction accuracy, calibration, bias, and uncertainty.
Training includes statistical modelling, machine learning, genetic epidemiology, uncertainty quantification, analysis of large-scale genetic and longitudinal clinical datasets, and reproducible research practices. The project also offers support for scientific writing, conference presentations, collaboration, and career development.
Entry requirement: at least a 2:1 honours degree. The project is competition funded. Closing date: 17 June 2027.
Funding details
Competition funded PhD project. The page indicates funding is available through the competition-funded route; no stipend amount or tuition details are stated in the post text.
What's required
Applicants should have at least a 2:1 honours degree. The project is suited to candidates interested in statistical modelling, machine learning, genetic epidemiology, uncertainty quantification, large-scale genetic and longitudinal clinical datasets, simulation studies, prediction reliability, bias assessment, and reproducible research practices.
How to apply
Review the project details and full entry requirements on the University of Southampton page, then apply through the postgraduate research application process linked from the project page. Check the funding and fees section before submitting your application.
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