Mathematics PhD Studentships

Project title: Statistical-dynamical modelling and analysis of atmospheric variability 

Primary supervisor: Dr Frank Kwasniok
Secondary supervisor: Professor David Stephenson

The project deals with modelling and analysis of atmospheric and climate variability using data-based statistical-dynamical models. Concepts and methods from dynamical systems theory, modern time series analysis and machine learning will be used; a focus may lie on regime-dependent modelling. Possible directions of investigation are: prediction/predictability of large-scale weather regimes; understanding the dynamics of weather regimes; prediction/predictability of large-scale extremes; prediction/predictability of seasonal climate variability; (local) complexity of the atmospheric circulation; statistical-dynamical downscaling from large-scale flow patterns to mesoscale weather elements, in particular extreme mesoscale weather events. Studied data sets may range from simple conceptual models, to intermediate-complexity atmospheric models, to reanalysis or observational data. The results from this project have potential implications for improving weather prediction.

For informal enquiries contact Dr Frank Kwasniok at

Application criteria

The successful applicant should have or expect to achieve at least an upper second class Honours degree, or equivalent qualifications, in a relevant subject such as mathematics, statistics, physics, meteorology, oceanography or climatology. The candidate should have a keen interest in the application of mathematical and statistical methods to problems in weather and climate science, and preferably some experience of programming in Matlab and/or Fortran.

Please note that studentships will be awarded on the basis of merit.

How to apply

To apply, you must complete the online web form.  You will be asked to submit some personal details and upload a full CV, covering letter and details of two academic referees. Your covering letter should state which project title you are applying for, outline your academic interests, prior research experience and reasons for wishing to undertake this project.

For general enquiries please contact Liz Roberts at