Postdoctoral Research Assistant In Ai For Digital Health
Job Description
We are seeking a full-time Postdoctoral Research Assistant in AI for Digital Health to join Professor Tingting Zhu's research group at the Department of Engineering Science (Headington, Oxford). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension.
This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation.
You should possess a relevant PhD (or near completion) in Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods; proven competence in programming methods like Python; evidence of working well as part of a multidisciplinary research team.
Informal enquiries may be addressed to Professor Tingting Zhu (email: tingting.zhu@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
16 June 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.
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Job Detail
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Job IdJD3113856
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationOxford, ENG, GB, United Kingdom
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EducationNot mentioned