Dear Allstat members,
The University of Reading and EDF Energy are looking to recruit a student onto a fully funded PhD project about building physical constraints into weather related risk estimates.
The advert for this project can be found below.
I’d be grateful for your support in sharing this email with anyone who you think may be interested in doing a PhD with an industrial partner.
Project title: Building physical constraints into weather-related risk estimates
Supervisors: Claudia Neves (University of Reading)
Ted Shepherd (University of Reading)
Hugo Winter (EDF Energy)
Outstanding applications are invited to join the University of Reading as part of an EPSRC industrial CASE (ICASE) PhD studentship. Through the affiliation with the Mathematics of Planet Earth-CDT, the successful candidate will have the opportunity to attend core CDT courses and to participate in MPE-CDT regular events and personal development activities. The direct contact with EDF Energy will help to provide experience of working in an industry context and presenting work to a wide range of end-users.
When required to extrapolate to very rare return periods, standard extreme value models and their typified statistical inference techniques can lead to estimates with a large amount of uncertainty. In many situations, these estimates start to exceed plausible levels and such large values can reduce the confidence that end-users have in the final results from extreme value models.
In the context of recent extreme weather events, natural hazard characterization continues to be an important area of research for EDF Energy. This PhD project is seen as a way to improve the natural hazard characterization approaches used within EDF Energy. The overall goal is to obtain more reliable constraints on extreme rainfall risk from historical records, using physical principles to draw inference from observable causes to certain extreme events. This project will combine new developments in extreme value theory with recent advances in approaches for understanding the physical drivers of extreme events.
We are seeking a strong and highly motivated candidate with knowledge in data and time series analysis, and experience in technical and/or statistical programming (Matlab, Python, R or a similar language). Some knowledge of the physical principles behind weather and climate would be an asset.
Applicants should hold or expect to gain a first or upper second class honours degree.
Be eligible for ICASE-EPSRC funding (i.e. UK or UK-resident for at least 3 years prior to the start of the studentship).
Starts 1st October 2018
4-year PhD program covering fees and stipend.
Stipend £17,000/ year (tax free)
How to apply:
To apply for this studentship please submit an application for a PhD in Mathematics at http://www.reading.ac.uk/graduateschool/prospectivestudents/gs-how-to-apply.aspx.
Please enclose a CV (no more than 2 pages) plus two reference contact details, transcripts and a brief cover letter (1 page).
Further Enquiries: please contact Dr Claudia Neves (email: [log in to unmask]).
Dr Claudia Neves
Department of Mathematics and Statistics
University of Reading
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