The Snow Hydrology Research Group in Davos investigates the dynamics of snow water resources and snowmelt in alpine watersheds. We are offering a fully-funded PhD position within the project ”Improved methods for incorporating observational data into physics-based, multi-layer snow models” starting October 2021.
You will develop novel data assimilation methods to improve physically-based, multi-layer snow model simulations. With direct access to a national snow monitoring network and latest remote sensing data, your doctoral research will demonstrate how these various data streams can be dynamically integrated into snow models. A particular focus of this dissertation project will be on developing approaches to leverage temporally and spatially discontinuous snow data to improve simulations where observations are unavailable. Your research findings will be of direct use to advance our operational snowmelt forecasts. SLF provides an enriching environment for the successful candidate to develop their research working alongside a motivated team of snow researchers.
You hold a master’s degree in environmental physics, earth system sciences, or a similar field; or you hold a master’s degree in statistical science or mathematics with an interest in environmental modeling. Existing expertise in the use of data assimilation techniques and scientific programming is an asset. You are a highly motivated person who appreciates working as part of a team within an international network of collaborators. Excellent command of English is therefore expected.
Please send your completed application to Jasmine Zollinger, Human Resources WSL/SLF. Tobias Jonas, e-mail: jonas(at)slf.ch, will be happy to answer any questions or offer further information. Please upload the requested documents through our webpage by July 15 latest. Applications via email will not be considered. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly invited to apply for this position.