Mathematics and Statistics for Modelling and Prediction (MaP)
Our Thematic Doctoral Training Programme, Mathematics and Statistics for Modelling and Prediction (MaP), offers a wide variety of inter-disciplinary projects with the unifying theme of Uncertainty Quantification. There are three PhD studentships available, funded by the Engineering and Physical Sciences Council (EPSRC), and some further PhD studentships from other funding sources.
Reseaching at the point of contact between applied mathematics and statistics, we expect successful applicants to focus on modelling real-world problems under uncertainty, working collaboratively with fellow mathematicians, statisticians, researchers from other disciplines and industry contacts.
The projects on offer can be explored on our webpages. If you have questions about a particular project please contact the project supervisors directly.
Eligibility and funding
All candidates should have, or expect to obtain, a First or 2:1 in mathematics, statistics or a related quantitative discipline, such as physics, engineering or computer science.
Fully funded studentships are available for UK applicants. EU applicants who are able to confirm that they have been resident in the UK for at least three years before October 2019 may also be eligible for a full award. EU students who are not able to prove that they meet the residency criteria may apply for a fees only award.
Successful applicants will receive a stipend (£14,777 per annum for 2018/19) for up to three-and-a-half years, tuition fees and a Research Training Support Grant.
To apply for the programme for 2019 entry please:
For more information, contact the academic lead Professor Andrew Wood.