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PhD studentship in the Department of Public Health and Primary Care, with a focus in Machine Learning and Artificial Intelligence

Closing date: 
Thursday, 30 September 2021

Department of Public Health and Primary Care

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 Public Health and Primary Care (Professor Emanuele Di Angelantonio; https://www.phpc.cam.ac.uk/) and the Department of Haematology (Professor Willem H Ouwehand; http://www.haem.cam.ac.uk/) commencing January 2022. 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 Public Health and Primary Care 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. 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.

 

https://www.jobs.cam.ac.uk/job/30531/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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