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Departmental Lecturer in Clinical Machine Learning


Grade 8: £43,414 – £51,805 per annum, with a discretionary range to £56,592 per annum

Closing date

Feb 07, 2023 12:00PM


The Department of Engineering Science intends to appoint a full-time Departmental Lecturer in Clinical Machine Learning to join the Computational Health Informatics (CHI) Lab from as early in 2023 as possible.  The successful candidate will work at the Institute of Biomedical Engineering (Headington, OX3 7DQ).  The post is associated with Professor Clifton’s NIHR Research Professorship and is fixed term for up to 5 years.  The post is offered for the full 5 years provided the post holder can start in post before 1st August 2023.


The main research focus will be to lead a team of research assistants and DPhil students within the Computational Health Informatics (CHI) lab, alongside Professor David Clifton and in support of his Research Chair from his NIHR Research Professorship.  The focus will be on theoretic, methodological research for “AI in healthcare”, in the analysis of complex, non-imaging data – incorporating high-rate sensor data, genetic data, Primary Care data, and hospital data.  Topics such as dataset condensation, dataset encoding, predictive inference, generative modelling, and other tasks within “AI for healthcare” will be undertaken.  The main teaching focus will be in the field of biomedical and information engineering, with particular emphasis on biomedical instrumentation and “AI for healthcare” (non-imaging).


The successful candidate will hold a PhD/DPhil in a relevant field, with post qualification research experience at a higher level, including a strong publication record, the ability to develop and to lead a research group, an aptitude and interest for teaching, and good communication skills.


Only online applications received before midday on Tuesday 7 February2023 can be considered. Interviews are expected to take place during week commencing 20 February 2023.  You will be required to upload a covering letter/supporting statement (explaining how you meet the selection criteria for the post), a research proposal (setting out your plans and priorities for reach over the next five years), CV and the details of two referees as part of your online application.  A job description, containing full details of the application procedure and duties, may be obtained below or by clicking ‘apply’. The job ref is: 162848. Please quote this in all correspondence.


Informal enquiries may be addressed to Professor David Clifton (email:


For more information about working at the Department, see 


The Department is committed to equality and valuing diversity and holds an Athena Swan Bronze award, highlighting its commitment to promoting gender equality in academia.


Contact name

Professor David Clifton

Contact email