Job Description

About us
UCL Hawkes Institute is a multi-disciplinary centre mostly across the departments of Medical Physics and Biomedical Engineering and Computer Science but including staff drawn from a total of 10 departments and 4 faculties across UCL. This role is within the staffing structure of the Medical Physics and Biomedical Engineering professional service team. UCL Hawkes Institute combines research expertise and experience from mathematical and computational sciences and medical physics with clinical and biomedical scientists. The majority of UCL Hawkes Institute are based at 90 High Holborn and share space with the UCL AI Centre.
The UCL Department of Medical Physics and Biomedical Engineering hosts internationally leading research groups covering a broad range of activities and spread over several sites. Our staff and students have a diverse range of interests and expertise, covering many areas of physics, engineering, medicine, physiology, computer science, and mathematics. This provides a highly stimulating multidisciplinary environment for learning and scientific research. In addition to our research activities, we run a variety of undergraduate and graduate degree programmes.
The UCL Department of Computer Science has over 100 faculty members and 1000 students. It is among the highest rated computer science departments in the UK on REF research power and grade-point average.
About the role
Applications are invited for a Postdoctoral Research Fellow position to join the Quantitative Neuroradiology Initiative team at UCL. The position is part of UCL Biomedical Research Council initiative.
The post offers a unique opportunity to contribute to the development of advanced quantitative neuroradiology tools within an internationally leading research environment. The appointed researcher will work in a multidisciplinary team led by Dr Ferran Prados Carrasco and collaborate closely with other teams at UCL.
The postholder will conduct research in quantitative imaging analysis, focusing on the development and validation of cross-sectional and longitudinal reports for dementia, multiple sclerosis, and glioma. Responsibilities include designing and implementing imaging methodologies, analysing data, and documenting findings as part of the research team. The role also involves preparing and presenting results for internal review, contributing to peer-reviewed publications, drafting reports for funding bodies, and supporting the overall research activities of the team and department.
For more information about this role, please contact f.carrasco@ucl.ac.uk for more information.

• An acceptable DBS check is required to carry out this role.
• This is a fixed-term role until 30th June 2027 in the first instance.
• This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

About you
The successful applicant will have or be near the completion of a PhD in medical image, bioinformatics, data science or similar.
The applicant will have experience in instrumentation, image processing algorithms (including machine learning approaches), or scientific software development.
Good demonstrable practical skills in programming, a strong publishing record, fluent communication skills are also essential. The role will require the applicant to develop and implement novel image processing algorithms; develop data analysis and control scripts; assemble a versatile quantitative clinical report; integration of the in the hospital platform; collaborate with clinicians to ensure clinical report efficacy; and present the work at international conferences, in publications, and to funders.
Your application should include a CV and a Cover Letter: In the Cover Letter please evidence how you meet the essential and desirable criteria in the Person Specification part of the . Please upload this in the cover letter attachment section of the application form. By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the online application form, which is limited in the number of characters it will allow.)
This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days' annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Visit to find out more.

• The advert will close on 31st October 2025 at 23:59 GMT, however we may close applications early if we receive a high volume of applications. Early application submission is recommended.
• Interview Date(s) are scheduled from 17th to 21st November 2025.
• If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact medphys.hr@ucl.ac.uk.

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.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people.

• Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.

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

Skills Required