Research Associate (Hydrological Statistician)

Centre for Ecology & Hydrology

Wallingford, , GB

Description of work area

Hydrological statistician, researching and developing statistical frequency models to improve current methods of flood and extreme rainfall estimation working within the Hydrological Modelling and Risk Group.

Description of specific work to be undertaken and skills to be gained

We are looking for a Research Associate to join our exciting programme to train and to work on flood and rainfall frequency estimation.  You  will undergo an extensive training programme and undertake project work to develop generalised statistical flood frequency estimates, using innovative approaches to incorporate non-stationarity and uncertainty estimation. The main focus will be on the development of new techniques to model the spatial and temporal variability of extreme floods and to translate these new developments into practical procedures that can be used by hydrologists and planners. 

You will develop skills in hydrology, modelling of statistical extremes and current Flood Estimation Handbook (FEH) methods and practice. In addition you will gain new skills in the development of hydrological models and methods for the practical assessment of flood risk in the UK and overseas.

Training and skills to be gained in summary

At the end of the 3-year training programme, as a Research Associate you will have gained

·         in-depth training in the fundamental elements of hydrological frequency estimation and statistical modelling of the natural environment  

·         IT skills to build and run statistical frequency models, and to analyse and present the outputs

·         the opportunity to participate in and contribute to a wide range of projects supporting the delivery of CEH science objectives.

Skills and qualifications required on appointment

  • You will have at least a 2.1 degree in a numerate science subject, preferably in Mathematics and/or Statistics, and a PhD (or a Masters with relevant postgraduate experience) in Statistics. Some experience of extreme value statistics would be advantageous
  • you should have a keen interest in researching, developing and implementing statistical models of the natural environment
  • you will be able to demonstrate excellent team working skills providing examples of how you work independently and as part of a team
  • you must be able to demonstrate through examples how you would communicate effectively with different audiences, including colleagues, senior managers, external scientists and the public (non-experts)
  • you should have established programming skills (Fortran, C/C++, Python, R).