PhD projects
The School of Mathematical Sciences invites applications for the following PhD projects.
Application deadlines:
The deadline for applications for QMUL, School and EPSRC DTP competition funded PhD studentships for September 2021 entry: 27 January 2021.
The deadline for applications for China Scholarship Council PhD studentships for September 2021 entry: 27 January 2021.
We welcome applications from self-funded students throughout the year.
Projects with guaranteed funding may be added throughout the year and will state the application deadline in the project listing.
PhD projects in Algebra and Number Theory
| Project Title | Supervisor |
|---|---|
| Automorphic forms: arithmetic and analytic interfaces [PDF 413KB] | Dr. Abhishek Saha |
PhD Projects in Complex Systems and Networks
| Project Title | Supervisor |
|---|---|
| Modelling stochastic processes in evolutionary games of resistance to cancer treatment [PDF 519KB] |
Dr. Weini Huand and Dr. Dudley Stark Deadline: Provisionally 31 January 2021 for April 2021 or July 2021 start |
| Structure and dynamics of simplicial complexes [PDF 540KB] | Prof. Ginestra Bianconi |
| Network modelling of spatial distributions from large data sets [PDF 84KB] | Dr. Vincenzo Nicosia |
PhD projects in Dynamical Systems and Statistical Physics
| Project Title | Supervisor |
|---|---|
| Random Walks in Restricted Domains and Standard Young Tableaux [PDF 422KB] | Prof. Thomas Prellberg |
| Active anomalous stochastic search [PDF 538KB] | Dr. Rainer Klages |
| Non-Markovian statistical mechanics: theory and applications [PDF 443KB] | Dr. Rosemary Harris |
PhD projects in Geometry and Analysis
| Project Title | Supervisor |
|---|---|
| Unique Continuation for Geometric Wave Equations, and Applications to Relativity, Holography and Controllability [PDF 642KB] | Dr. Arick Shao |
| Quantum differential geometry and applications [PDF 408KB] | Prof. Shahn Majid |
| The two-body problem in numerical and perturbative general relativity [PDF 439KB] | Dr. Charalampos Markakis |
PhD projects in Probability and Applications
| Project Title | Supervisor |
|---|---|
| Parametric Complexity Reduction in Finance [PDF 139KB] | Dr. Kathrin Glau |
| Numerical Methods for High-Dimensional Problems in Finance [PDF 139KB] | Dr. Kathrin Glau |
| Potential Theory of Regenerative Compositions [PDF 114KB] | Prof. Alexander Gnedin |
PhD projects in Statistics and Data Science
| Project Title | Supervisor |
|---|---|
| Bayesian Uncertainty Quantification for Clustering Problems [PDF 408KB] | Dr. William Yoo and Dr. Silvia Liverani |
| Robust extraction of dependence structures in high-dimensional nonlinear time series [PDF 530KB] | Dr. Alex Shestopaloff |
| Bayesian High-Dimensional Time Series models with Applications to Macroeconomic and Financial Data [PDF 414KB] | Dr. Luca Rossini |
Enquiries and Further Information
For any general enquiries regarding the above PhD studentships please contact Dr Alex Fink, the Director of Postgraduate Research Studies, or Dr Steve Lester, the Deputy Director of Postgraduate Research 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.
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:
- Algebra and Number Theory
- Combinatorics
- Complex Systems and Networks
- Dynamical Systems and Statistical Physics
- Geometry and Analysis
- Probability and Applications
- Statistics and Data Science
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.