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  1. School of Mathematical Sciences
  2. Postgraduate
  3. Postgraduate Research
  4. PhD projects
  5. Current PhD projects
  6. China Scholarship Council Projects

China Scholarship Council Projects

Queen Mary University of London has partnered with the China Scholarship Council (CSC) to offer a joint scholarship programme to enable Chinese students to study for a PhD programme at Queen Mary. Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses for 4 years and one return flight ticket to successful applicants. 

Applications to Queen Mary for the China Scholarship Council (CSC) 2026-27 are now open. The deadline for applications to Queen Mary is 28th January 2026, 16:00 GMT. 

Please check this page carefully for more info and how to apply: QMUL China Scholarship Council Scholarships

For visiting/associate students, who are coming to Queen Mary for a short amount of time, as part of your current PhD, please apply via this page https://www.qmul.ac.uk/postgraduate/associate/. Please note: visiting/associate students should apply for the CSC through the personal application channel, not via the QMUL–CSC Joint Programme. The QMUL–CSC Joint Programme is for full-time QMUL PhD students only.

For any questions about the Queen Mary/CSC partnership, please contact international-partnerships@qmul.ac.uk

CSC Projects

The School of Mathematical Sciences is pleased to offer the following projects under the QMUL–CSC Joint Programme to start in September 2026. 

CeCANT Cellular-like resolutions from Chern classes Alex Fink 
CS Tracer advection in correlated active matter fields Adrian Baule
CS Topological Synchronization in Higher-order Networks Ginestra Bianconi
CS Statistical mechanics and information theory of geometry and its applications Ginestra Bianconi
CS Stochastic modelling of immune-cancer interactions under immunotherapies Weini Huang
CS Optimal Statistical Dispersion Oliver Jenkinson
CS Stochastic modelling of bumblebee movement patterns from experimental data Rainer Klages
CS Weak chaos, fractals and anomalous diffusion Rainer Klages
CS Numerical models of ventricular arrhythmia Anna Maltsev
CS Universality in Random Matrix Theory Anna Maltsev
CS Thermodynamic formalism of graph-directed self-affine sets Ian Morris
CS Modelling the feedback between human behaviour and epidemic spreading Nicola Perra
GAnG Numerical study of non linearities in general relativity and beyond Katy Clough
GAnG Gravitational waves from Effective Field Theories of Gravity Pau Figueras
GAnG Generative Diffusion Models for Lattice Field Theories Biagio Lucini
GAnG Quantum Riemannian Geometry and Applications to Mathematical Physics Shahn Majid
GAnG Global problems in General Relativity: conformal methods and microlocal analysis Juan Valiente Kroon
PSD The Topology of Hyperuniform Processes Omer Bobrowski / Primoz Skraba
PSD Empowering Causal Inference with Functional Data Analysis Nicolás Hernández
PSD Advanced Inference Methods for High-Dimensional and Functional Data Nicolás Hernández
PSD Signature-Based Forecasting of Functional Time Series Nicolás Hernández
PSD Advanced Modelling and Forecasting of Functional Time Series Nicolás Hernández
PSD Scalable and Adaptive Statistical Modelling for Environmental DNA Surveys of Biodiversity in China Eleni Matecho / Silvia Liverani
PSD Toric spaces from finite posets Amaranta Membrillo Solis
PSD Applications and modelling of high-dimensional time series Alexander Shestopaloff
PSD Causal Machine Learning Methods for Complex Imaging Data Eftychia Solea / Nicolás Hernández

 

 

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