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Applications are now open for fully funded studentships on our doctoral training programme.
The EPSRC CDT in Mathematics of Random Systems: Analysis, Modelling and Algorithms is a partnership between three world-class departments in the area of probabilistic modelling, stochastic analysis and their applications, the Oxford Mathematical Institute, the Oxford Department of Statistics and the Department of Mathematics, Imperial College London, with the ambition of training the next generation of academic and industry experts in stochastic modelling, advanced computational methods and Data Science.
The CDT offers a fully funded 4-year comprehensive training programme at the frontier of scientific research in Probability, Stochastic Analysis, Stochastic Modelling, stochastic computational methods and applications in physics, finance, biology, healthcare and data science.
Students receive solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms. In the first year, students follow four Core courses on Foundation areas as well as three elective courses, and undertake a supervised research project, which then evolves into a PhD thesis.