PhD projects
Algebra and Number Theory
Combinatorics
Complex Systems and Networks
Higher-order networks: Theory and Applications [PDF 412KB], Ginestra Bianconi
Structure and dynamics of simplicial complexes [PDF 545KB], Ginestra Bianconi
The role of spatial structure in metacommunity dynamics [PDF 419KB], Vincenzo Nicosia
Network modelling of spatial distributions from large data sets [PDF 438KB], Vincenzo Nicosia
Dynamical Systems and Statistical Physics
Stochastic modelling of frequency fluctuations in power grids of the future [PDF 429KB], Christian Beck
Ergodic optimisation of marginally unstable linear switched systems [PDF 410KB], Ian Morris
Non-Markovian statistical mechanics: theory and applications [PDF 416KB], Rosemary Harris
Quantum Monte Carlo methods for the protein folding problem [PDF 424KB], Thomas Prellberg
Random Walks in Restricted Domains and Standard Young Tableaux [PDF 428KB], Thomas Prellberg
Geometry, Analysis & Gravitation
From computational fluid dynamics to gravitational wave observations [PDF 417KB], Charalampos Markakis
Gravitational wave data science with the Laser Interferometer Space Antenna (LISA) [PDF 418KB], Charalampos Markakis
The two-body problem in numerical and perturbative general relativity [PDF 445KB], Charalampos Markakis
Geometric Analysis of Interfaces [PDF 414KB], Huy The Nguyen
Approximate symmetries and dynamic black holes [PDF 419KB], Juan Valiente Kroon
Foundations of Relativistic Viscous Hydrodynamics: toward a Well-Posed Theory [PDF 422KB], Juan Valiente Kroon
Numerical investigation of particle dynamics in strong gravity [PDF 420KB], Katy Clough
High-precision gravity observables: From effective field theories to particle amplitudes [PDF 415KB], Michèle Levi
Strong Gravity Beyond General Relativity [PDF 416KB], Pau Figueras
Topology of Random Spaces [PDF 418KB], Primoz Skraba
Quantum geometry aspects of quantum computing [PDF 480KB], Shahn Majid
Quantum differential geometry and applications [PDF 412KB], Shahn Majid
Probability and Applications
Solving Complex Dynamical Systems in Finance: Mathematical Foundations and Applications [PDF 438KB]Solving Complex Dynamical Systems in Finance: Mathematical Foundations and Applications [PDF 438KB], Kathrin Glau
Learning High Dimensional Functions for Finance: Mathematical Foundations and Applications [PDF 441KB], Kathrin Glau
Deep Learning in Finance: Mathematical Foundations and Applications [PDF 432KB], Linus Wunderlich
Statistics and Data Science
Efficient spatio-temporal modelling and interpolation of Global Sea Surface Height [PDF 429KB], Arthur Guillaumin
Emulators for the analysis of computer experiments [PDF 406KB], Hugo Maruri-Aguilar
Audio Synthesis with Neural Regularisation Networks [PDF 417KB], Martin Benning
Cardiac Imaging with Generative Regularisation Networks [PDF 416KB], Martin Benning
Higher-dimensional structure in weather data [PDF 410KB], Nina Otter
Statistical Modeling for Complex Observation Data: Applications to Intelligent Transport System [PDF 414KB], Prajamitra Bhuyan
Bayesian spatial modelling for biodiversity [PDF 415KB], Silvia Liverani
Bayesian modelling for misaligned spatio-temporal data [PDF 408KB], Silvia Liverani
Application deadlines:
Applicants that wish to apply for the following funding sources please note that the application deadline is 30 January 2022.
- QMUL, School and EPSRC DTP competition funded PhD studentships for September 2022 entry
- S&E BAME Doctoral Research Studentships competition 2022/23 [PDF 17KB] applications for September 2022 entry
Other funding bodies may have different deadlines. See fees and funding for details.
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.
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 Ian Morris, 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, Analysis & Gravitation
- 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.