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

    1284
    • Scholarship
    • UK
    • Applications have closed

    Website 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), Genomics England (https://www.genomicsengland.co.uk), UK Biobank ( https://www.ukbiobank.ac.uk) and the NIHR BioResource (https://bioresource.nihr.ac.uk). 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.

    Who are we looking for?

    At the very least you should hold (or be predicted to achieve) the equivalent of a first-class or upper-second undergraduate degree in biomedicine, Mathematics, computer science, or a general natural science. Experience with next generation sequencing technologies desirable, and skills in computer languages and code writing are highly relevant for the project. An aptitude for computer programming is essential. The appointee will receive the necessary training in applied statistics and genetics. Your supervisors will provide private tuition to develop further skills that you need to optimally contribute to the success of the PhD project.

    What makes these PhD positions unique?

    Our faculty of leading scientists and clinicians in Cambridge and London combine the power of world-leading machine learning and AI with cutting-edge research in mathematics, computer science, genomics and experimental medicine, computational biology, biostatistics, clinical research, healthcare policy and more. Our faculty is drawn from across the University of Cambridge, University College London and its affiliated hospitals, CUH and UCLH.

    Please submit a two-page CV, which should include two referees and a statement of research interest, by email to Lindsay Walker at [email protected]

    The successful applicant will be required to complete a formal application to the University of Cambridge (www.graduate.study.cam.ac.uk/how-do-I-apply). Applications will be accepted from within the UK and from non-UK countries. An annual stipend is available to the successful candidate.

    The closing date for this vacancy is 30th July 2021.

    The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy, as they are currently under-represented at this level in our Department.

    The University has a responsibility to ensure that all employees are eligible to live and work in the UK.