[CCBI Logo]
Department of Applied Mathematics and Theoretical Physics
Wilberforce Road
Cambridge, CB3 0WA, UK [Directions]
Tel: +44 (0) 1223 765 000 - Fax: +44 (0) 1223 765 900

Wellcome Trust PhD Programme in Mathematical Genomics and Medicine

Please send any enquiries about this programme to wt-phd@damtp.cam.ac.uk

Modern genomics promises not only to help uncover the molecular basis of disease, but also to have a major impact on health care through translation of advances in techniques, computation and knowledge into clinical trials and clinical practice. Quantitative analysis is at the heart of this goal, and there is a pressing requirement for researchers with thorough mathematical and statistical expertise, in addition to training in medical genetics and informatics.

This PhD programme has been established as a collaboration between the University and the Wellcome Trust Sanger Institute. The programme will provide the opportunity to work at the interface between the mathematical and computational sciences, and genome-scale and translational medical research. We expect that successful applicants will have strong mathematical, statistical and computational skills, and may include exceptional biologists. They will develop quantitative techniques and theoretical approaches and apply them to practical problems in both translational and basic biomedical research. The programme follows a "1 + 3" model, comprising a tailored first year of taught modules and research rotations, followed by a three-year research project. All students will have two supervisors, one from a mathematics, engineering or other quantitative science background, and the second from a genetics or genomics/biomedical background.

Successful applicants will have the opportunity to undertake research that draws on the unique strengths of the Cambridge region: the successful synergies of NHS and University in translational medical research; genetics, computational and genomics research at the University and the Wellcome Trust Sanger Institute; and the University’s outstanding research and training base in the mathematical sciences.

Further details of programme

Application process

MGM Seminar Series

MGS Seminar Series details