PhD Projects

We strongly encourage applications from candidates interested in pursuing a PhD study in statistics or probability. Below are the areas of expertise that our group members offer projects in. Further details can be found on our personal webpages. We also warmly welcome suggestions for other projects that you might be interested in, and which have connections with our research interests.

Information about the application process and funding opportunities can be found at the Research courses: MSc, PhD, MPhil page.

Staff supervising projects in this area are:

  • Dr Stephen Connor: perfect simulation, coupling of stochastic processes, mixing times of random walks on rings.
  • Dr Marina Knight: analysis and forecasting of non-stationary time series with applications in energy and biology, multi-scale methods, nonparametric statistics.
  • Dr Degui Li: nonlinear time series econometrics, dynamic panel data and functional data analysis, high-dimensional statistics.
  • Dr Andrea Wiencierz: imprecise data analysis, mixed models and smoothing, machine learning with applications in air quality data.
  • Prof Wenyang Zhang: high dimensional/big data analysis, nonparametric statistics, nonlinear time series, survival analysis, functional data analysis, spatial data analysis, multi-level modelling, structural equation models.