Position as 3-year Researcher in Glacier mass-change reconstruction using data assimilation available at the Department of Geosciences.

Earliest starting date is October 1, 2023 and preferably not later than 1 January 2024.

The position aims to reconstruct the glacier mass evolution of all >200,000 glaciers on Earth outside the ice sheets over the last four decades using data assimilation, thus producing a global glacier ‘reanalysis’. Work will focus on developing a suitable methodology to fuse diverse observational data (e.g., in-situ observations, satellite-derived elevation changes, gravimetric balances from GRACE, snow line observations, glacier extent/outlines, surface ice velocities) with physical knowledge encoded in numerical glacier models to provide optimal and uncertainty-aware estimates of glacier mass change for every glacier and each month using a consistent methodology.

The position is part of the recently funded EU ERC Advanced Grant “Past and Future High-resolution Global Glacier Mass Changes (GLACMASS)”. The researcher will be part of a growing team of researchers, postdocs and PhD students working on modeling global glacier mass changes using data assimilation and machine learning as part of GLACMASS (see also positions as Postdocs and PhD in the same field). The successful candidate is expected to contribute to the supervision of the project´s PhD students. Funding is available for conference attendances as well as research visits with external collaborators at universities in Europe and the USA. No fieldwork is anticipated for this project, but possibilities to gain field experience may well arise within other projects in the glaciology group.