Research Fellow in AI-driven Medical Image Enhancement & Image Quality Transfer

UCL; London; On-site; GBP 40,000 - 55,000; Full time

Job summary

UCL is seeking a researcher for the newly formed Hawkes Institute focusing on AI and imaging technologies. The post requires expertise in machine learning and health-related applications. Applicants should possess a PhD and demonstrate innovation in research and development. Exceptional benefits, including generous leave and pension schemes, are offered.

Benefits

41 Days holiday

On-site gym

Employee assistance programme

Defined benefit pension scheme

Cycle to work scheme

Qualifications

• PhD in relevant discipline with a strong track record in AI and ML.
• Demonstrated problem-solving and communication skills.
• High-quality research publication history.

Responsibilities

• Develop AI technologies for image reconstruction and enhancement.
• Collaborate within a diverse research hub focused on healthcare applications.
• Engage in projects related to low-field portable MRI scanners.

Skills

Problem-solving

Communication

Machine Learning

AI Tools

Education

PhD in a related discipline

Honours degree (minimum 2:1)

Job description

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.

About the role

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

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 ([e-mail])

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

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 and for our Grade 9 and 10 roles, women.