Postdoctoral Researcher in Machine Learning in Cardiovascular Medicine

Friday 10th September 2021

Organization: University of Oxford

Location: Radcliffe Department of Medicine, Division of Cardiovascular Medicine

Title: Postdoctoral Researcher in Machine Learning in Cardiovascular Medicine


Email Address:

Closing Date: 5th October 2021


The Radcliffe Department of Medicine (RDM) Division of Cardiovascular Medicine (University of Oxford) is seeking a highly motivated Postdoctoral Researcher who will play a key role in the development of machine learning models for large-scale datasets to explore cardiovascular disease progression in young people.

You will work with the UK Biobank data of brain and cardiac magnetic resonance imaging, blood pressure, blood biomarkers and retinal imaging to investigate the phenotypes of hypertension related disease progression in the general population. In addition, you will have access to novel large-scale datasets collected by the research group within observational studies and randomised trials within the UK and internationally in young adults predisposed to early hypertension and stroke. The group aims to create tools that are clinically useful for monitoring hypertensive disease progression in young adults and to identify effective preventative strategies.

As the researcher, you will be an active team member working with other post-doctoral researchers and doctoral students contributing to the dynamic and fast-moving research environment. You will also develop contacts and research collaborations within the RDM and the wider academic community in order to further your project and career aims. You will have opportunities to represent the research group at external meetings/seminars, either with other members of the group or alone.

Selection Criteria: - Hold a relevant PhD/DPhil in computer science, engineering, or related discipline. Candidates that are in the late stage of their DPhil will be also considered. - Excellent programming skills - Hold a strong interest in computational modelling and the application of artificial intelligence to medicine - Experience of working as a computational scientist or biomedical engineer in a multi-disciplinary team interested in clinical translation - Experience of using imaging data (e.g. brain and/or cardiovascular) within computational models. - [Desirable]: Previous experience with MR imaging including harmonising MR data from different scanners

This is a full-time appointment on a fixed term contract for 1 year, with the possibility of a 2-year extension. This post is funded by a new Medical Research Council Programme Grant, and you will be based at the Cardiovascular Clinical Research Facility, Level 1, John Radcliffe Hospital, Oxford, OX3 9DU.

Applying: Details about the application process can be found here: