| Location: | London, Hybrid |
|---|---|
| Salary: | £43,981 to £52,586 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 2nd June 2026 |
|---|---|
| Closes: | 15th June 2026 |
| Job Ref: | B04-07485 |
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 the international EDoN Initiative (UCL Division of Psychiatry; Boston University, USA; University of Western Australia (Australia), the University of Sydney (Australia), and the University of Sussex (UK). Duties and responsibilities:
Lead and collaborate on developing and evaluating data-driven models of disease progression for early detection of neurodegenerative diseases using multimodal data from wearables, cognitive test scores/apps, and neuroimaging.
Perform computational statistics and machine learning analyses linking digital biomarkers with traditional clinical measures.
This role is fixed term funded until 31st December 2027 in the first instance
About you
You must have experience and demonstrable aptitude in a related field, e.g., computational neuroscience, neurology, data processing/analysis.
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.
Desirable skills: domain knowledge/familiarity/experience (Alzheimer’s and related diseases); excellent communication skills.
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/
Customer advert reference: B04-07485
Type / Role:
Subject Area(s):
Location(s):