Operational Research and Risk Modelling
The Brunel University Mathematical Sciences department has a long and distinguished research history within Operational Research and Risk Modelling. In recent years it has been an area of academic staff and PhD student growth as a result of a strategic Brunel University commitment to expand research in Mathematics, and in particular in Operational Research and Risk Modelling. We believe that Brunel is alone amongst UK universities in strategically expanding these areas.
Research within Operational Research and Risk Modelling is organised around the University Research Centre of CARISMA (Centre for the Analysis of Risk and Optimisation Modelling Applications), which is focused on the solution of challenging applied OR problems within risk and optimisation. Brunel has been very successful in strategically supporting, nurturing and growing CARISMA to achieve international recognition as a centre of high quality research excellence within its chosen domain.
Within the London area, in the 2008 Research Assessment Exercise with respect to Statistics and Operational Research, we were rated as the second best research department, equal to the London School of Economics, second to Imperial College.
We research in the following areas:
- financial engineering: asset and liability management, enhanced indexation, index tracking, pricing, portfolio optimisation
- mathematical programming: linear, integer and stochastic programming, nonlinear
- metaheuristics: population heuristics, tabu search, variable neighbourhood search
- risk: especially within finance, value at risk
If you are considering becoming a PhD student with us then we offer:
- academic staff who are internationally recognised as researcher leaders within their disciplines
- academic staff who are have extensive experience of supervising PhD students from inception to successful completion
- the opportunity to experience three years in a stimulating intellectual environment within a large body of students researching in similar areas
