PhD student for Snow Water Equivalent innovative sensor development (f/m/d)

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Join the WSL Institute for Snow and Avalanche Research SLF, part of the ETH Domain. This is a chance to work in a cutting-edge research environment with a focus on environmental protection. Tasks Develop innovative sensors for measuring Snow Water Equivalent. Collaborate with PSI to validate DMAPS muon sensors in alpine settings. Conduct field measurements and analyze snow dynamics during campaigns. Skills Master's degree in science or engineering, with experimental work background. Proficiency in Python and handling large datasets is essential. Experience in snow hydrology or particle physics is an advantage. 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. The Research UnitSnow and Atmosphere investigates the physical properties of snow and its exchange processes with the soil and atmosphere, and its Snow Processes group works on wide ranging questions on snow, snow transport and snowfall precipitation. We are looking for a You will work on a research project funded by the Swiss National Competence Center Muoniverse. Muoniverse is dedicated to advancing muon science across particle physics, quantum materials, and applications ranging from energy research to cultural heritage. You will be collaborating with the Paul Scherrer Institute (PSI) to validate and deploy their DMAPS muon sensors for measuring Snow Water Equivalent (SWE) in alpine environments. Your work will begin at the Weissfluhjoch test site, where you will cross-validate sensor readings with existing automated and manual snow measurements (e.g., snow scale, snow profiles, SMP). You will also conduct high-frequency manual sampling during key events to capture temporal dynamics. Once validated, you will deploy multiple sensors to study small-scale SWE variability during mass redistribution and loss events, and later in heterogeneous terrain like ridges, generating unique datasets to advance our understanding of snowpack dynamics. You should have a master’s degree in science or engineering, ideally with a background in experimental work, data analysis, and field measurements. Solid knowledge of a high-level programming language such as Python as well as the ability to handle large data sets are required. Some experience with snow hydrology, cryosphere monitoring, or particle physics instrumentation is a plus. Independence, problem-solving skills, and the ability to work in alpine conditions—including during winter field campaigns—are essential. Fluency in English (written and spoken) is required; knowledge of German is beneficial. Please send your complete application to Clemens Güdel, Human Resources SLF, by uploading the requested documents through our webpage. Applications via email will not be considered. Dr. Mathias Bavay, phone +41 (0)81 417 02 65, will be happy to answer any questions or offer further information. WSL is committed to diversity and inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment. Flüelastrasse 11, CH-7260 Davos Dorf Website Company-Video