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Sebastian Schemm is a Heisenberg Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge. His research primarily focuses on atmospheric sciences, with a special interest in the physics and dynamics of weather and climate in the extratropics, turbulence at spatio-temporal scales, and synoptic and planetary scales. Schemm's recent work has centered on the life cycle of extratropical cyclones and the dynamics of the jet stream and storm tracks, as well as Rossby waves and teleconnection patterns. His ongoing research involves high-resolution atmospheric modeling, machine learning applications in modeling complexity, and the development of diagnostic tools. He is actively exploring data assimilation and data-driven parameterizations for km-scale global models. Schemm has received several prestigious grants and awards, including the ERC Starting Grant and the European Meteorological Society's Young Researcher Medal. He has also been involved in editorial work for prominent journals in his field and has supervised various PhD projects, emphasizing the need for collaboration in postdoctoral research.
University of Cambridge • Cambridge, UK
Working on high-resolution atmospheric modeling and applying machine learning techniques.
ETH Zurich • Zurich, Switzerland
Led a research group focused on atmospheric circulation and dynamics.
Laboratoire de Météorologie Dynamique (LMD), ENS • Paris, France
Conducted research on atmospheric dynamics.
University of Bergen • Bergen, Norway
Engaged in atmospheric science research.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.