Doctoral Training Programme in Mathematics of Random Systems at Oxford

Deadlines: Jan 6, 2023 & Mar 1, 2023

The EPSRC Centre for Doctoral Training 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.

Students should participate if they are interested in a PhD in Mathematics of Random Systems. Applications are now open (CLICK HERE) for fully funded studentships on our doctoral training programme.

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.

The Centre for Doctoral Training (CDT) will be present at the Oxford Mathematical Institute Postgraduate Open Day in person and virtually which will be held on Nov 23, 2022.

More information: or email

Contact for More Info

Dr. Melanie Witt (she/her)

Mathematics Institute, University of Oxford

Administrator for EPSRC CDT in Mathematics of Random Systems

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