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WSL’s Research Scientist Snow Modelling is a full-time, two-year position based in Davos focused on advancing snow dynamics in operational models such as ICON and SNOWPACK to improve land-surface processes and hazard forecasting. You will join the Snow and Atmosphere unit and collaborate with model developers, MeteoSwiss and SLF, contributing to the next generation of weather and snow models. A university degree in meteorology, engineering, natural sciences or physics and strong numerical modelling skills are essential, with programming experience in FORTRAN, C++, Python or GPUs and HPC experience. German and English fluency is required. To apply, upload documents on the official page, tailor your CV to modelling projects and highlight collaboration and communication skills. Women are encouraged to apply.

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The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of the environment and on the handling of natural hazards. WSL employs approximately 600 people, of whom 180 work at SLF in Davos.

Research Scientist Snow Modelling 80-100% (f/m/d)

The Research Unit Snow and Atmosphere at SLF is concerned with the physical properties of the material snow and permafrost, with snow – atmosphere interactions and the role of snow, ice and permafrost in the climate system. The expertise is snow modelling should further be developed between MeteoSwiss and SLF in particular for operational applications in meteorological models. In this context, we look for a

This position is initially for two years with main office at SLF Davos. The work is on modelling snow dynamics in operational models such as ICON and SNOWPACK. The overall aim is on improving land surface modelling in particular with respect to improving forecasting of natural hazards such as avalanches or floods. You will work in dynamic teams of international model developers and will be integrated in the snow processes / CRYOS group at SLF and the Numerical Prediction Division at MeteoSwiss.

You hold a university degree in meteorology, engineering, natural sciences or physics and have a strong background in numerical modelling. In particular, knowledge of programming (FORTRAN, C++, Python, GPUs) and an interest in contributing to the next generation of weather and snow models is required.  German and English skills as well as experience working with HPC infrastructure are necessary qualifications. You bring solid analytical capacities and a good talent for organisation and communication.

 

Please send your complete application to Clemens Güdel, Human Resources WSL/SLF, by uploading the requested documents through our webpage. Applications via email will not be considered. Michael Lehning ([email protected]) and Marco Arpagaus ([email protected]) 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.

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