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Dr K Zeng Applications accepted all year round Self-Funded PhD Students Only

About the Project

Our research combines theoretical development and empirical data analysis. In particular, we are interested in developing new methods for analyzing DNA sequence data, and applying them to real datasets. This approach can be used to study many important questions in evolutionary genetics such as detecting genes under natural selection, inferring past demographic events, studying the process of speciation, and understanding the evolutionary significance of genetic recombination. The explosion of genome data means that this kind of research is essential for modern evolutionary genetics.

The student will not just receive training in population/evolutionary genetics, but will also acquire highly transferrable skills in statistics, modelling, and computing.

Science Graduate School
As a PhD student in one of the science departments at the University of Sheffield, you’ll be part of the Science Graduate School. You’ll get access to training opportunities designed to support your career development by helping you gain professional skills that are essential in all areas of science. You’ll be able to learn how to recognise good research and research behaviour, improve your communication abilities and experience the breadth of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more.

Funding Notes

Applicants will need to obtain funding to cover tuition fees and living expenses. The applicant should have, or expect to gain, at least an upper second class degree, or equivalent overseas qualification, in a relevant subject.

This project will suit motivated students interested in population/evolutionary genetics with an enthusiasm for analysing large genomics datasets. Applications from any other relevant discipline (e.g., statistics, computer science, physics, mathematics) are also welcome.


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