We are seeking three full-time Postdoctoral Research Assistants in AI for Healthcare, to join the Computational Health Informatics (CHI) Laboratory, in the Institute of Biomedical Engineering, in the Department of Engineering Science (Headington, Oxford). The posts are funded by RCUK and are fixed-term for up to 12 months, with a possibility of an extension. The CHI Lab is one of the leading groups for AI in Healthcare, and one of the largest groups in the Department of Engineering Science, with a friendly, close-knit collaborative team focused on delivering novel innovations into healthcare practice.
These posts are part of a collaboration with senior colleagues in the Medical Sciences Division and the Oxford University Hospitals NHS Foundation Trust. You will be responsible for developing machine learning methods to improve our understanding of patient physiological conditions, across a number of high-profile collaborations. This will be based on developing tools for analysing very large electronic health record (EHR) and sensor datasets from the Oxford University Hospitals NHS Foundation Trust and other clinical sources.
You should have a PhD (or be close to completion) in machine learning, computer science, signal processing, computational statistics, or cognate discipline. You should also have experience of working in a highly interdisciplinary team, with a good publication record in the scientific literature, as well as competence in programming methods in Python and ML environments.
Informal enquiries may be addressed to Prof. David Clifton, Professor of Clinical Machine Learning, within the Department of Engineering Science (email: email@example.com).
Only online applications received before midday onFriday, 23 July 2021 can be considered. 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.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.