The School of Mathematical Sciences invites applications for the PhD projects listed below.
Application deadlines for funded projects are listed in the tables below, but please be aware that applications will be considered on a rolling basis.
Unfunded projects are listed without application or start deadlines, and we welcome applications from self-funded students throughout the year.
For any general enquiries regarding the above PhD studentships please contact Dr Reem Yassawi, the Director of Graduate Studies, or Dr Alex Shestopaloff, the Deputy Director of Graduate Studies. For more administrative queries about the PhD programme at Queen Mary, please contact Katie Hale, the PGR Programmes Officer.
If you have already secured funding for your PhD studies and therefore do not wish your application to be considered within the studentship competition please state this on the appropriate part of your application form.
It is highly recommended that first you make up your mind in which area of mathematics you wish to work and, ideally, to even think of prospective PhD supervisors at our School. It is important that your supervisor shares your research interests such that he/she can successfully guide you in your research. Many PhD students in mathematics do not pursue targeted research projects specified at the outset. Instead, they develop an agreed programme of study in discussion with their supervisor during their first year here. This programme tends to evolve in response to what has been learned during preliminary studies.
With this in mind, the important question for a prospective student is: Are my interests aligned with those of the School? The following links provide information on the general research strengths of the School:
From time to time, we have projects available which are co-sponsored by an industrial partner, or which are run jointly with colleagues in another department at Queen Mary. Recent examples of the latter include the School of Biological and Chemical Sciences, the School of Electronic Engineering and Computer Science, and the Wolfson Institute of Population Health.