Postdoctoral Research Assistant in Machine Learning for Healthcare

University of Oxford - Institute of Biomedical Engineering

(2 posts)

Old Road Campus Building, Headington, Oxford

We are seeking two full-time postdoctoral research assistants to join the Department of Engineering Science. The posts are funded by the EPSRC, and are fixed-term for 24 months with the possibility of an extension.

This post is part of a collaboration between the machine learning group of Professor Mihaela van der Schaar, the biomedical engineering group of Professor David Clifton, and the Oxford University Hospitals NHS Foundation Trust. You will be responsible for developing machine learning methods to improve our understanding of patient severity, and for risk stratification in the hospital. This will be based on developing tools for analysing very large electronic health record (EHR) data from the Oxford University Hospitals NHS Foundation Trust.

The project collaborates with leading clinicians and engineers, and offers excellent opportunities for high-impact publication in the engineering/computer science literature and the medical literature.  Delivery of real systems within the NHS is intended during the lifetime of the programme.

You should have a PhD (or be close to completion) in machine learning, computer science, signal processing, or computational statistics (or cognate disciplines), and have experience of working in a highly interdisciplinary team. 

Informal enquiries may be addressed to Professor David Clifton (davidc@robots.ox.ac.uk).

You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on 1 September 2017 can be considered.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=129930

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