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 Research Unit Mountain Hydrology and Mass Movements develops hydrological forecast systems. Floods remain a major threat for people and infrastructure in Switzerland. As part of the GLORI-A (Global-to-Regional ICON Alpine Twin) initiative Meteo Swiss is developing a digital twin of the earth weather system with increased resolution over the Alpine region. WSL will support Meteo Swiss in estimating added values of on-demand weather-forecast for anticipation of impactful floods in the Alps. We are looking starting in January or February 2025, for a

You are brilliant graduate with interest in flood hazard research with operational hydrometeorological forecasting chains. Applicants are expected to have a background in hydrological models’ output, with strong background in programming (R, Python). We presume advanced statistical skill, preferably with previous work on probabilistic forecasts. You will work on methods to evaluate in real-time the quality of ongoing impactful weather and hydrological events. Yoo will develop and evaluate storylines to assess the added value of a configurable Digital Twin of the European Alps and hydrological impact models for Switzerland. You interact with stakeholders to identify their needs to increase confidence in decision about mitigation measure during floods. You publish your findings in scientific journals.

You hold a master from a technical university and are focused your academic education in environmental sciences, earth sciences or applied mathematics. You are familiar with the Alpine area. Your workplace will be at WSL (Birmensdorf) with frequent exchanges with Meteo Swiss (Zürich Airport). You will be supervised by a scientist responsible for the project at both WSL and Meteo Swiss. You are highly motivated to apply your know-how to solve current scientific questions and contribute to future flood forecasting tools. You are fluent in English and have preferably already some experiences in writing and publishing scientific work. You will be enrolled at ETH.

Please send your complete application to Beatrice Lamprecht, Human Resources WSL, by December 13, 2024, at the latest by uploading the requested documents via our