Mathematics research strategy

The research in the Department of Mathematics is organised in four research groups: Applied and Numerical Analysis, Financial Mathematics and Operational Research, Statistics and Data Science and  Mathematical Physics and Applied Mathematics. We also host the Centre for Mathematical and Statistical Modelling that underpins mathematical research across the University.

Our research covers a wide range of problems in fundamental and applied mathematics and overlaps between the four groups.  We also have (and hope to develop further) links with other disciplines in the university, especially in computer science, economics, engineering and health sciences. Our activities are guided by the following strategic priorities.

• We will maintain the quality and ensure excellence of our disciplinary research, which is the core and heart of our research activities. We will produce high-quality research outputs, deliver research-led disciplinary teaching, plan and design ambitious projects thus ensuring that our research is supported through increased grant capture.
• All groups and the Centre will foster interdisciplinary research driven by specific end-user needs and major societal challenges. These involve industry and academic partners from other disciplines. The Department will support the Centre in its goal to facilitate interdisciplinary projects and collaborations with industry that generate substantial impact.
• The Department will maintain a vibrant research environment for faculty, research students, early career researchers and academic visitors. In particular, it will continue to hold its rich research seminar programme and to host research student symposia which provides our doctoral students with the opportunity to present their work. It will continue to host prestigious conferences and workshops, such as the triennial conference on Mathematics of Finite Elements and its Applications (MAFELAP) and the annual Random Matrix Theory Workshop (held in alternate years at Brunel and Bielefeld University, Germany). We are committed to further expand our international networks and raise our academic profile.
• The Department will offer attractive, broad-based training to its doctoral students. It will deliver highly trained PhD graduates who contribute to UK’s research base and enhance Brunel’s reputation for excellent research, both in the UK and in overseas institutions.

The Centre for Mathematical and Statistical Modelling is a key asset to support these goals, enabling its members to deliver research of the highest possible calibre, supporting the dissemination of research outputs and effective collaborations. We view the continued development of the Centre as an enabler for the health and success of Brunel Mathematics.