Drayson Research Fellow: Senior Researcher in Machine Learning for Digital Health

Applications to be received by 12pm on Wednesday 10th of January 2018

Grade 8: £39,992 - £47,722 p.a.

We are seeking a full-time postdoctoral research fellow in machine learning for digital health to join the Biomedical Signal Processing and m-health group, headed by Professor Lionel Tarassenko in the Institute of Biomedical Engineering (Department of Engineering Science), on the medical campus in Headington. The post is funded by Drayson Technologies (see https://draysontechnologies.com/drayson-health.html), with which the University has a strategic research agreement in the domain of digital health.

This main focus of the role is to be a research leader, working with a team of other researchers, developing machine learning techniques for digital health systems, both in secondary care and in the community. The successful applicant will develop clinically-validated software for patients and clinicians, using intelligent algorithms to improve disease management and treatment, medication adherence, and, where relevant, early detection of deterioration.

You should possess expertise in machine learning algorithms and/or signal processing, and ideally have experience of working in a highly interdisciplinary team, including working with clinicians. You will have a PhD and some postdoctoral experience.

Informal enquiries may be addressed to Professor Lionel Tarassenko CBE FREng FMedSci (lionel.tarassenko@eng.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 online applications received before 12.00 midday on Wednesday 10 January 2018 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 has changed. With effect from 1 October 2017, all employees at Grade 8 and above have a retirement age of the 30 September before the 69th birthday. All employees at Grades 1-7 do not have a set retirement age. Further details are available here: www.ox.ac.uk/about/jobs/preemploymentscreening.

Contact: Professor Lionel Tarassenko CBE FREng FMedSci