August 2019
Message 113

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[Met-jobs] JOBS: research fellow post in windstorm modelling at U. of Exeter

From David Stephenson <>
Date Thu, 29 Aug 2019 17:53:28 +0100

Please find below an advert for a post that may be of interest to
a researcher interested in working together in a project that aims
to improve windstorm hazard estimation.
| Prof. David B. Stephenson       | Director of Exeter Climate Systems |                                   
| Department of Mathematics       |       |
| University of Exeter            |                                    |
| Laver Building, North Park Road | Tel: +44 (0) 1392 72 5275          |
| Exeter EX4 4QF, UK              |        |
           Postdoctoral Research Fellow in

Statistical Evaluation of Windstorm Footprints

           Department of Mathematics, University of Exeter


This full time, 20 month fixed term post is available immediately to work alongside Prof. David Stephenson and Dr. Ben Youngman in the NERC-funded BigFoot project. 



Summary of the role


The BigFoot (BIG data methods for improving windstorm FOOTprint prediction) project is exploring how alternative unconventional big data sources, such as weather observations made by amateurs, social media comments, and video CCTV recordings, can be used to improve estimation of windstorm footprints (spatial maps of maximum wind gust speed of great relevance to natural hazard risk quantification and insurance). 


The post will develop new statistical approaches for the comparative evaluation of windstorm footprints, and will critically test the methods on footprints that have been produced in the project using novel spatio-temporal statistical approaches.  The successful applicant will work under the guidance of Prof. David Stephenson and Dr. Ben Youngman, collaborating strongly with the three other fellows in the project, and with stakeholders in the insurance industry, such as Willis Towers Watson. 


Applicants will possess a relevant PhD, or equivalent, and be able to demonstrate sufficient knowledge in the discipline to work within established research programmes. They will also need to be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically. The successful applicant should have experience of developing and programming statistical models (e.g. in R/Python/Matlab).



Application closing date 26/09/2019

More details:

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