Location: | Nottingham |
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Salary: | £45,413 to £57,422 per annum pro-rata depending on skills and experience. Salary progression beyond this scale is subject to performance. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 2nd July 2025 |
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Closes: | 15th July 2025 |
Job Ref: | MED188225 |
The University of Nottingham is seeking to appoint an exceptional and motivated Senior Research Fellow to join the Digital Cancer Screening Research Group, led by Professor Yan Chen, within the School of Medicine. The group is internationally recognised for its work in the application of Artificial Intelligence (AI) and Digital Cancer Screening and collaborates with major NHS programmes, academic institutions, and leading industry partners.
The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a key role in developing research methodologies and driving innovation across a rapidly expanding portfolio of externally funded projects.
This role offers an exciting opportunity to work at the forefront of digital health innovation within an experienced multidisciplinary team. We are looking for a candidate with strong expertise in medical imaging and AI applications in healthcare.
This is a full-time post (36.25 hours). This role is available from 1st August for 12 months, if the start date is delayed this role must end on 31st July 2026. Job share arrangements may be considered. Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role.
Informal enquiries may be addressed to Professor Yan Chen. Please note that applications sent directly to this email address will not be accepted.
Further details:
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