School of Mathematical Sciences

Projects and research themes

All PhD funding opportunities will be posted on this website.

The School of Mathematical Sciences invites applications for PhD projects commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students.






Current PhD Projects

The project is eligible for full funding, including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. The deadline for applications is 22 April 2019:

Self-funded PhD Projects

The deadline for funded studentships for the following projects was 31 January 2019, or 14 January 2019 for the Alan Turing Institute studentship. We continue to welcome applications for the projects listed below from self-funded students:

PhD projects in Algebra and Number Theory


PhD Projects in Complex Systems and Networks


PhD projects in Dynamical Systems and Statistical Physics


PhD projects in Geometry and Analysis



PhD projects in Probability and Applications


PhD projects in Statistics



Enquiries and Further Information

For any general enquiries regarding the above PhD studentships please contact Dr Steve Lester (Pure Maths) or Prof. Franco Vivaldi (Applied Maths). For more administrative queries about the PhD programme at Queen Mary, please contact Katie Hale at

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.

Choosing your Research Topic

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:

Collaborative Research 

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 Preventive Medicine.