PhD student in Automatic avalanche detection and prediction

vor 4 Wochen

Davos, Schweiz WSL Vollzeit
WSL Institute for Snow and Avalanche Research SLF 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

PhD student in Automatic avalanche detection and prediction (m/w/d)

Precisely determining when, where, how, and why avalanches occur is crucial for effective forecasting and mitigating avalanche risk.To advance numerical avalanche forecasting, you will integrate accurate avalanche data from seismic detection systems to develop data-driven and machine-learning models for automatic avalanche detection and prediction. You will participate in avalanche field experiments and maintain a seismic network. You will publish your results in international scientific journals and promote their practical application. The work is part of a collaborative project with researchers from the Swiss Data Science Center and the Seismology and Wave Physics group at ETH Zurich, where the potential of Distributed Acoustic Sensing (DAS) for avalanche detection and characterisation will be investigated. Together, you will explore the methodological transferability and constraints between conventional seismic and DAS acquisition techniques.

You have a master degree in Data Science, Geophysics or Natural Sciences. We seek candidates with strong skills in programming, machine learning, data science and handling big data sets. For field work, you must have appropriate (backcountry) skiing experience and be willing to work in harsh winter conditions. You have good oral and written communication skills, particularly in English, are well organized, motivated to work in an interdisciplinary and international team and are keen to transfer your research into practice. 

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