Mathematics of life and social sciences entry
Competitive departmental funding
The Department's research spans the spectrum of mathematics, encompassing pure and applied mathematics and statistics. There are many exciting cross-spectrum collaborations with nonlinear mathematics regularly featuring as a connecting theme.
The Mathematics in Life and Social Sciences research group is a lively and growing group, currently with seven permanent internationally well-known staff members and eight enthusiastic PhD students.
The work in the group can be characterised as new mathematics for real world applications. Mathematical areas in which the group is active include:
- Dynamical systems analysis
- Delay equations
- Experimental design
- Data assimilation
- Bayesian statistics
Contexts in which the mathematics is applied include:
- Chronobiology and health, amongst others.
The group has numerous national and international collaborations in academia, industry and government. For example, we work closely with Pfizer and AstraZenica, have a project with the Surrey police, and an intensive collaboration with the Surrey Sleep Research Centre. We are also part of the LMS supported network Mathematics in Life Sciences (MiLS) and jointly organise the EPSRC network on Quantitative Systems Pharmacology.
Potential areas for PhD research:
- Data assimilation in health applications
- Mathematical pharmacology
- Dynamics in ecology, crime, and sleep
- Experimental design
- Developmental biology, tissue morphogenesis and cancer modelling.
As a PhD student in the Department of Mathematics you will work as part of a vibrant and supportive community of early career researchers who exchange ideas and collaborate with each other and the mathematical community. You will be extensively trained for a career as a professional mathematician, which will set you on the right track for a future in academia, industry or government.
During your PhD you will also receive a comprehensive training in transferable skills such as project management, communication and time management through our Faculty Graduate School. In addition, you will broaden your mathematical horizons by taking courses via national networks such as the national MAGIC consortia as well as our own in-house MSc course.
Applicants should have:
- A minimum of a first-class honours degree in mathematics, physical sciences or engineering.
Preferably applicants will hold:
- A MMath, MPhys or MSc degree, though exceptional BSc students will be considered.