Swiss Federal Institute for Forest, Snow and Landscape Research WSL
 
The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on the handling of natural hazards.

The WSL has initiated the Research Program “Extremes” (2021-2024) to foster inter- and transdisciplinary research to equip Swiss stakeholders with appropriate decision-making tools and coping strategies addressing future extremes. The objective of the Extremes project MaLeFiX (Machine Learning aided Forecasting of drought related eXtremes) is the combination of probabilistic sub-seasonal drought forecasts with impact models addressing forest fire, glacier water balance, bark beetle development and biodiversity. It is located at the Research Unit Mountain Hydrology and Mass Movements, which develops novel operational hydrological forecast systems.

We are looking for the duration of two years, starting on 1st September or 1st October 2022, a
PostDoc in Machine Learning and Drought Forecast Impacts modelling 80%-100% (m/f/d)
You are an early career scientist with an interest in multidisciplinary research and excellent knowledge in Machine Learning methods like LSTM. Applicants are expected to have a background in the use and application of weather and climate model output, with strong expertise and experience in programming (R, Python) and in the application of statistical and probabilistic forecasts. You will work on the interface of the various impact models with sub-seasonal forecasts and their derived (possibly novel) indicators of drought related risks with the help of ML. Experiences with the development of user-friendly Web based applications in consultation with end-users and stakeholders is a plus. You publish your outcomes in scientific journals.

You have a doctoral degree in natural sciences. You have experience in hydrometeorological and environmental modelling and derived drought indices and an in-depth knowledge of applied data sciences and processing of Big Data.

The ability to work independently, conceptually and precisely as well as flexibility and willingness to perform are among your strengths, as well as good communication skills and cooperation in an international and dynamic research team. You are fluent in English and have according to your career stage an above average publication record.

Please send your complete application to Beatrice Lamprecht, Human Resources WSL, by 30. April 2022at the latest by uploading the requested documents via our website. Applications via email will not be considered. Dr Konrad Bogner, (konrad.bogner@wsl.ch) will be happy to answer any questions or offer further information. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.

Zürcherstrasse 111, CH-8903 Birmensdorf
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