An exciting and rapidly evolving field of mathematics is the interface between statistics, applied and stochastic mathematics and computation. Traditionally, deterministic applied mathematics and statistics have taken different approaches to modelling observed phenomena; one based primarily on mathematical description of mechanism, and the other on the mathematical representation of data. What is needed now are researchers whose training genuinely spans the interface between these approaches, while also being actively well versed in cross-disciplinary approaches and industrial collaboration. We call this interface Statistical Applied Mathematics.

The EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa) will form mathematicians with an overarching view that sees no separation between applied mathematics and statistics and who are well versed in the language and approach of engaging with other academic disciplines and industry. We welcome applications from graduates of mathematical disciplines who already have, or expect to obtain, a first or upper second class honours degree and can demonstrate and enthusiasm for the vision and delivery of SAMBa.

This innovative 4-year Doctoral Programme is funded by EPSRC and the University of Bath and there are at least 10 fully-funded PhD places are available each year, primarily aimed at home/EU students. The Integrated PhD programme incorporates masters-level study leading to the award of an MRes in Statistical Applied Mathematics followed by a research project leading to the award of a PhD. Students will continue through the programme as a cohort, working closely together to build knowledge and experience.

SAMBa provides a dynamic, multidisciplinary research and training environment in a leading Mathematical Sciences Department. Students will design and deliver a series of symposia, bringing in external speakers and as well as presenting material themselves. SAMBa will run twice yearly Integrative Think Tanks. These are intensive week-long events during which students are faced with industrial and/or cross-disciplinary problems to help train them in the process of synthesising relevant mathematical formulations into a research agenda.

PhD projects will be at the forefront of research at the Applied Maths and Statistics interface and it is hoped that a significant number will be carried out in collaboration with industrial and/or cross-disciplinary partners.