(contact Juan-Juan Cai)
https://vacature.beta.tudelft. nl/vacaturesite/permalink/ 46531/?lang=en
There is an urgent need of statistical sound prediction methods for extreme weather, which often has a strong disruptive societal impact. The research project “Probabilistic forecasts of extreme weather utilizing advanced methods from extreme value theory” is funded by NWO-TTW (the former STW) and is a collaboration between the statistics section, Delft University of Technology (TU Delft) and the R&D Weather and Climate Modelling department of the Royal Netherlands Meteorological Institute (KNMI).
Applicants should have the following qualifications:
PhD on statistical and/or machine learning methods including application of these methods to (big) data, preferably in a probabilistic (weather) forecasting framework;
preferably knowledge of extreme value theory and/or statistical post-processing and verification methods;
highly motivated and interested in meteorology;
experienced in (statistical) programming, preferably in R;
very good communication skills and fluent spoken and written English.
Deadline: 10 May 2018