Research Fellow in Computational Biomedicine for Neurodegenerative Diseases

Ref Number B04-07482 Professional Expertise Research and Research Support Department UCL BEAMS (B04) Location London Working Pattern Full time Salary £43,981-£52,586 Contract Type Fixed-term Working Type Hybrid Available for Secondment No Closing Date 15-Jun-2026 About us

UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England. The UCL Progression Of Neurodegenerative Disease (POND) group is a world-leading research laboratory in computational data-driven disease progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics

About the role

The Fellow will join the UCL POND group (15–20 researchers), collaborating directly with researchers from UCL Hawkes and beyond. Main duties and responsibilities:

Extend and develop machine learning tools for individualised prediction and stratification in Alzheimer’s disease clinical trials and healthcare applications such as memory clinics.

Write papers, attend conferences, etc.

This is a fixed-term role until 31st December 2027 in the first instance

Appointment might be made as a Senior Research Fellow, Grade 8, this will be determined by the additional essential criteria in the job description

About you

You must have experience and demonstrable aptitude in a related field: honours/masters degree (minimum 2:1) and a PhD in a relevant discipline: machine learning, medical image computing, physics, mathematics, statistics, engineering, computational neuroscience. Key skills: proficiency and experience in coding relevant to computational statistics and machine learning (e.g., Python, R, MATLAB), including in high performance computing environments; experience with large scale biomedical/health datasets and a suitable track record in machine learning applied to medical data analysis. It is also essential to have excellent communication skills and a commitment to conducting high-quality research that will benefit medicine and healthcare

What we offer

As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work\-at\-ucl/rewards\-and\-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce

Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.

You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality\-diversity\-inclusion/