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Postdoc Position in Biomedical Image Analysis at Imperial College London

Imperial College London, UK is inviting excellent candidates to apply for a postdoctoral researcher position in artificial intelligence. Applications should be sent before November 22, 2018.

We are seeking to appoint a Research Associate for a collaborative project funded by the Wellcome Trust and EPSRC. The aim of the project is to artificial intelligence and machine learning solutions to discover and quantify markers of pathological retinal ageing and thus predict individual progression and conversion to late age-related macular degeneration (AMD). As part of the project we seek to answer two fundamental questions: (1) Can we use machine learning to interrogate high resolution retinal OCT images identify and quantify early structural markers in the retina that discriminate pathological changes from healthy ageing and accurately classify AMD at a population level? (2) Can we utilise machine learning applied to generated from ophthalmic multi-modal imaging, genetic testing, functional parameters and patient history and demographics to predict the individual risk for progression to late AMD? The project will combine two important areas of technology to address the challenge of identifying progression and conversion to late age-related in order to improve outcomes for patients: AI and ML techniques and advanced imaging techniques.

You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing which is a leading department of Computer Science among UK Universities.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 33,380 – 35,061 per annum.

Should you have any queries regarding the application process please contact Jamie Perrins: j.perrins@imperial.ac.uk


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