Associate Professor of Cardiovascular Imaging (using Machine Learning at Population Scale)

<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><div>This post is available as either a clinical or a non-clinical position. If appointed to a clinical post you must be medically qualified and will be a clinician at NHS consultant/honorary consultant level.</div><br> <div>&#160;</div><br> <div>The Radcliffe Department of Medicine (RDM) with its Division of Cardiovascular Medicine, and the Nuffield Department of Population Health (NDPH), with its Big Data Institute (BDI), all at the Medical Sciences Division, University of Oxford, are seeking to appoint an Associate Professor of Cardiovascular Imaging using Machine Learning at Population Scale, from as early a date as can be arranged. This will be a joint appointment between both departments, formally held in the Division of Cardiovascular Medicine, Radcliffe Department of Medicine, and primarily based in the Big Data Institute. The post is associated with Keble College and the successful candidate will hold a non-tutorial Fellowship at the College.</div><br> <div>&#160;</div><br> <div>We seek an innovative scientist (clinical or non-clinical) to join our world-class cardiovascular research. You will have a PhD, proven expertise in machine learning and computer vision, and a track record of applying advanced quantitative methods to analyse complex medical imaging and health data. You will bring expertise in data science, with emphasis on developing and applying new methods in machine learning for large-scale analysis of imaging and other health-related data sets, with the ultimate goal of improving cardiovascular outcomes. You will also have a track record of collegiality, and a culturing supportive and diverse working environment. The RDM/CVM and NDPH/BDI provide an outstanding, supportive environment for research in this area, and you will contribute to the furthering academic excellence and the development of translational research within these departments.</div><br> <div>&#160;</div><br> <div>Applications for this vacancy are to be made online. The closing date for applications is 12.00 noon on 22 December 2023. It is envisaged that interviews for shortlisted candidates will take place in the second half of January 2024.</div><br> <div>&#160;</div><br> <div>Queries about the post should be addressed to the Head of the Division of Cardiovascular Medicine, Professor Stefan Neubauer (Stefan.neubauer@cardiov.ox.ac.uk) or the Director of the Big Data Institute, Professor Cecilia Lindgren (Cecilia.lindgren@bdi.ox.ac.uk). Candidates may also contact the Senior Tutor at Keble College, Dr Alisdair Rogers (ali.rogers@keble.ox.ac.uk).</div><br> <div>&#160;</div><br> <div><em>Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford.</em></div><br> <div>&#160;</div><br> <div><strong><em>Committed to equality and valuing diversity</em></strong></div> </div>