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Mathematics of Planet Earth

EPSRC PhD Studentships in the Mathematical Sciences

The Department of Mathematics & Statistics at the University of Reading is pleased to offer up to two fully funded four year EPSRC PhD studentships in the Mathematical Sciences. Studentships are offered in a range of areas covering applied, numerical and pure mathematics and statistics. Further details on the available projects can be found here. Further details on the Department and its research groups can be found here.

Applicants need to hold a first degree in mathematics, physics, statistics or a related relevant area and have obtained at least a 2.1 degree. Studentships are open to UK and International applicants and are accompanied by a stipend of £15,609 per annum. Studentships will be available to commence in either September 2021 or January 2022.

EPSRC funding covers UK fees rates. If an international is offered an EPSRC DTP studentship, the difference in the UK and International fees rates will be covered by the University.

Applicants should be aware that the University is required to report diversity information to the umbrella funder, UK Research and Innovation (UKRI). UKRI receives this information as aggregated and anonymised data of recruitment rounds/cohorts, not as data about individual applicants. This data is collected so that UKRI has a better understanding of the students its training provision attracts and supports and is able to analyse general trends in student populations across UKRI.

Numerical Analysis and Computational Modelling

Funding Notes

Applications can be made by visiting our website. Applicants do not need to provide a project description, but should indicate on their application form which project(s) they are interested in undertaking should their application be successful.

Applications will close on Friday 27th August 2021, with short-listed candidates being invited for interview shortly thereafter.

Any queries should be directed to Postgraduate Research Administrator: Kristine Aldridge.

Pure and Applicable Analysis