Software Engineer Machine Learning 60-100% (f/m/d)

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 140 work at SLF in Davos.

The Research Unit Snow Avalanches and Prevention investigates the formation and dynamics of avalanches, develops warning systems for Alpine natural hazards, and issues the Swiss avalanche bulletin. Its research group Avalanche Formation and Dynamics is looking for a

Software Engineer Machine Learning 60-100% (f/m/d)

Are you interested in combining software development and machine learning for real-world applications? Join our team to support us in developing new software to test and enhance avalanche detection systems and to further develop the White Risk platform. Your primary tasks will include establishing a robust data processing workflow on an SLF server to monitor system health and data quality, and implementing existing machine learning models for near real-time avalanche detection. In addition, you will explore how machine learning methods can be used to improve the White Risk platform. Finally, you will plan and implement innovative solutions to streamline workflows and enhance system efficiency.

Please send your complete application to Jasmine Zollinger, Human Resources SLF, by uploading the requested documents through our webpage. Applications via email will not be considered. Alec van Herwijnen, e-mail alec.vanherijnen@slf.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.

Flüelastrasse 11, CH-7260 Davos Dorf
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