Wellcome Trust 4-year PhD Programme in
Mathematical Genomics and Medicine
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 of Cambridge and the Wellcome 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.
Who are we looking for?
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.
This PhD Programme provides a tax-free stipend and pays University of Cambridge fees at the ‘home/EU rate’ (see www.graduate.study.cam.ac.uk/finance/fees), a contribution to research expenses and some travel and training costs.
Studying in Cambridge
Students 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 Sanger Institute, and the University’s outstanding research and training base in the mathematical sciences.
How to apply
Applicants must follow the instructions at: https://gcat.medschl.cam.ac.uk/graduate-training-office/clinical-school-graduate-degree-courses/mres-phd-in-mathematical-genomics-and-medicine/how-to-apply/
The deadline for submissions is noon (GMT) on Friday 7 December 2018. Interviews will be held at the end of January 2019.