PhD Studentship in Machine Learning and AI (Fixed Term) at University of Cambridge

This is a unique opportunity to secure a fully funded 4-yr PhD position in a world-class university, with dual academic support being provided by the Department of Applied Mathematics and Theoretical Physics (Professor Carola-Bibiane Schönlieb; http://www.damtp.cam.ac.uk/) and the Department of Haematology (Professor Willem H Ouwehand; http://www.haem.cam.ac.uk/). During your PhD you will work on large genomics data sets drawn from the UK-wide genome resources and new data currently being generated by the international Blood transfusion Genomics Consortium (www.bgc.io), This is your opportunity in putting your mind to some of the major challenges in healthcare-focused machine learning and AI and genomics and to make a key contribution in bringing genomics to the frontline of medicine. The Cambridge University Departments of Applied Mathematics and Theoretical Physics and Haematology work with colleagues at University College London and its hospital UCLH in applying a cross-disciplinary approach to develop healthcare-focused machine learning and AI solutions of the future (https://www.youtube.com/watch?v BIyTgiF6wCw). This is a challenge that requires critically-minded thinkers.