Advanced Research Fellow in AI for Healthcare

We are seeking to appoint an exceptional Advanced Research Fellow in AI for Healthcare to join the Natural and Computing Science (NCS), University of Aberdeen.

You will join a team of staff and collaborators within School of NCS and The Institute of Applied Health Sciences to lead the development of Achieving Self-directed Integrated Cancer Aftercare (ASICA) platform and the analysis of novel health record data with the goal of improving early detection of melanoma recurrences and second primaries by prompting and supporting people with melanoma to conduct regular total-skin-self-examination.  You will work to harness expertise across School of Medicine, Medical Science and Nutrition, School Natural and Computing Science and NHS, allowing you a unique opportunity to advance your health data science skills.

Salary will be at the appropriate point on Grade 7, £45,585 - £54,395 per annum with placement according to qualifications and experience. Funding limited until 30 June 2026.

Informal enquiries should be made to Dr Dewei Yi, Lecturer in Computing Science, e-mail: dewei.yi@abdn.ac.uk. Or Prof Ehud Reiter, Professor in Computing Science, e-mail:  e.reiter@abdn.ac.uk

Should you require a visa to undertake employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship under the requirements of the Skilled Worker visa. At the time an offer of appointment is made, you will be asked to demonstrate that you fulfil the criteria in respect of qualification and competency in English. For research and academic posts, we will consider eligibility under the Global Talent visa. Please do not hesitate to contact Lucy Redmayne, HR Adviser (e-mail: lucy.redmayne@abdn.ac.uk) for further information.

To apply online for this position visit www.abdn.ac.uk/jobs

Job Reference Number: NCS227R

The closing date for the receipt of applications is 08 April 2024

The School of Natural and Computing Sciences embraces a diverse working environment and recognises the many benefits this can bring. Applications from individuals from across all of the equality protected characteristics are encouraged.

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