Departmental Lecturer in Clinical Machine Learning

Location: Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus Research Building, Headington OX3 7DQ

The Department of Engineering Science is seeking to appoint a committed Departmental Lecturer in Clinical Machine Learning to join the collaborative 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 full-time 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. 

As Departmental Lecturer, 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).

With a PhD/DPhil in a relevant field, with post qualification research experience at a higher level, the successful candidate will have a strong publication record and the ability to engage with the wider academic community. You will also have 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 Thursday 23 February 2023 can be considered. Interviews are expected to take place during week commencing 13 March 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: david.clifton@eng.ox.ac.uk). 

For more information about working at the Department, see  www.eng.ox.ac.uk/about/work-with-us/

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

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