Postdoctoral Research Assistant in Machine Learning for Healthcare

University of Oxford - Institute of Biomedical Engineering

We are seeking a full-time postdoctoral research assistant to join the Department of Engineering Science. The post is funded by the EPSRC, and is fixed-term for 12 months with possibility of an extension.

This post is part of a collaboration between the biomedical machine learning group of Professor David Clifton, the Oxford University Hospitals NHS Foundation Trust, and clinical collaborators in China.  You will be responsible for developing machine learning methods to improve our understanding of patient severity, and for risk stratification based on physiological sensor data.

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 and other healthcare systems (such as China) is the intended outcome.

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 (

Further information can be found at:

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 29 September 2017 can be considered.

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

Please note that the University of Oxford's retirement policy is changing. With effect from 1 October 2017, all employees at Grade 8 and above will have a retirement age of 68, and all employees at Grades 6 and 7 will no longer have a set retirement age. Further details are available here:

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