Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

UCL
City of London
4 months ago
Applications closed

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About us

UCL Hawkes Institute is a multidisciplinary centre spanning departments including Medical Physics and Biomedical Engineering and Computer Science, with staff from 10 departments and 4 faculties across UCL. This role sits within the Medical Physics and Biomedical Engineering professional service team. The Institute combines research in mathematical and computational sciences and medical physics with clinical and biomedical sciences. Most staff 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 across a range of activities and sites. Our staff and students have diverse interests and expertise in physics, engineering, medicine, physiology, computer science, and mathematics, providing a stimulating multidisciplinary environment for learning and research. We run undergraduate and graduate degree programmes in addition to our research activities.


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 for 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 the 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 will 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 for more information.



  • An acceptable DBS check is required to carry out this role.
  • This is a fixed-term role until 30 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 imaging, 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, and fluent communication skills are 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; integrate with 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 Job Description. 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 the UCL Human Resources page for more information.


What we offer

As well as the exciting opportunities this role presents, we offer several benefits:



  • 41 days holiday (27 days annual leave, 8 bank holidays 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 the UCL rewards and benefits page to find out more.



  • The advert will close on 31 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 17 to 21 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 .

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 particularly encourage applications from candidates likely to be underrepresented in UCL's workforce, including 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/


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