Postdoctoral Research Assistant in AI for Healthcare (4x roles)
Salary
Grade 7: £38,674 - £46,913 per annum, with a discretionary range to £52,539 per annum
Closing date
Jan 07, 2025 12:00PM
Description
We are seeking four full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical Engineering in Headington. The posts are fixed-term for 12 months in the first instance, funded by the World Health Organization, the Hong Kong Innovation and Technology Commission, and the UK’s Engineering and Physical Sciences Research Council.
The postholders will work on projects with international collaborators and colleagues from within the University to achieve a range of real-world outcomes, including pandemic readiness and response, identifying undiagnosed conditions, and the use of wearable devices for patient monitoring.
You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data), for systems that improve the efficacy of machine learning-based technologies for healthcare applications.
You must hold a PhD (or be near completion) in a field such as computer science, signal processing, or biomedical engineering, have a strong record of publication in the engineering or computer science literature, and have in interest in the use of AI in healthcare.
Informal enquiries may be addressed to David.Clifton@eng.ox.ac.uk
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
Only online applications received before midday on the 7th January 2025 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.
Contact name
Prof David Clifton
Contact email
David.Clifton@eng.ox.ac.uk
Title
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