Research Fellow In Ai Driven Medical Image Enhancement & Image Quality Transfer

London, ENG, GB, United Kingdom

Job Description

Ref Number


B04-06217

Professional Expertise


Research and Research Support

Department


UCL BEAMS (B04)

Location


London

Working Pattern


Full time

Salary


43,374 51,860

Contract Type


Permanent

Working Type


On site

Available for Secondment


No

Closing Date


31-Jul-2025

About us


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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.


About the role


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Appointments will be within the newly created UCL Hawkes Institute and Department of Computer Science. The Hawkes Institute launched in March and combines the UCL Centre for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). The specific location will be our office at 90 High Holborn, which collocates Hawkes (formerly CMIC), UCL's AI Centre (AIC), and UCL's Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI technologies through to front-line applications in healthcare. The Hawkes Institute connects these activities to the wider range of biomedical and clinical activity across UCL. The aim is to develop next-generation low-field portable MRI scanners enabling new research and clinical application in low-resource settings. UCL's part of the project develops AI technologies for image reconstruction from sparse data and image enhancement via mappings from low-field to high-field images using and building on methods such as Image Quality Transfer


About you


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The post requires an honours degree (minimum 2:1) and a PhD in a discipline related to the role. The candidate should have a track record in the theory, development, and application of machine learning/AI tools with relevance to this project. The candidate should also have strong problem-solving abilities, excellent communication skills, and a track record of high-quality research publications. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy or the application process, please contact Prof Daniel Alexander (d.alexander@ucl.ac.uk)


What we offer


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As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: o 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) o Additional 5 days' annual leave purchase scheme o Defined benefit career average revalued earnings pension scheme (CARE) o Cycle to work scheme and season ticket loan o Immigration loan o Relocation scheme for certain posts o On-site nursery o On-site gym o Enhanced maternity, paternity and adoption pay o Employee assistance programme: Staff Support Service o Discounted medical insurance


Our commitment to Equality, Diversity and Inclusion


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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 and for our Grade 9 and 10 roles, women.

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Job Detail

  • Job Id
    JD3252315
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned