This PhD position at The University of Manchester offers an exceptional opportunity to address the challenge of patient heterogeneity in neurodegenerative diseases through the development of foundational AI models. The project is situated at the intersection of artificial intelligence, bioinformatics, and clinical neuroscience, aiming to create a sophisticated 'Digital Twin'—a dynamic health profile that mirrors an individual's condition over time. The successful candidate will integrate multi-modal data, including neuroimaging, multi-omic profiles, and electronic health records, to generate personalised predictions of disease progression. This research is poised to revolutionise precision medicine by providing new tools for forecasting, understanding, and managing neurodegenerative conditions.

As part of a highly interdisciplinary supervisory team, you will work with state-of-the-art AI technologies and leverage unparalleled clinical datasets. The project is ideal for candidates with a strong quantitative background, creativity, and a passion for collaborative, multidisciplinary research. Essential skills include proficiency in Python, experience with machine learning and deep learning frameworks (such as PyTorch and TensorFlow), and a solid foundation in mathematical principles underlying AI and statistical modelling. Desirable experience includes advanced deep learning architectures, large-scale AI models, bioinformatics, and handling complex clinical or biomedical data.

The position is fully funded for 3.5 years, with excellent candidates nominated for competence-based funding. The University of Manchester offers a range of scholarships, studentships, and awards to support both UK and overseas postgraduate researchers. Flexible study arrangements, including part-time options, may be considered depending on the project and funding.

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering discipline. English language certification is required if applicable. The application deadline is March 16, 2026, with a start date in October 2026. Early application is recommended as the advert will be removed once the position is filled.

To apply, contact Dr. Jingyuan Sun ([email protected]) before submitting your application to discuss your motivation and background. Applications must be submitted online, specifying the project title, supervisor, funding status, previous study details, and contact details for two referees. Required supporting documents include transcripts, CV, supporting statement, and English language certificate if applicable. For further information, visit the project page or the university's application portal.

The University of Manchester is committed to equality, diversity, and inclusion, actively encouraging applicants from diverse backgrounds and career paths. Flexible study arrangements are supported, and applications from those returning from a career break or other roles are welcomed.