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Postdoctoral Scientist at the Max Planck Institute for Meteorology (MPI-M)

The successful applicant will join a team of scientists implementing and ice-sheet model into the next generation km-scale Earth-system model ICON with the aim of better understanding atmosphere-ocean-ice sheet interactions that contribute to present-day sea-level rise and high-latitude climate change. The candidate is supposed to contribute to the development of coupled high-resolution model configurations and their analysis regarding the circulation of the high-latitude oceans.

The research is part of TerraDT, a project within the European Commission's Horizon Europe research infrastructure programme. TerraDT aims at improving the descriptions of Earth system components in Destination Earth (DestinE) climate models.

Applications deadline: 07.04.2025

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Assistant/Associate/Full Professor: Computational Earth System Science at Oregon State University

The College of Earth, Ocean and Atmospheric Sciences invites applications for multiple part-time (.75 FTE), 12-month, tenure-track/tenured Assistant, Associate or Full Professor positions (depending on qualifications) in Computational Earth System Science. This position will be part of the OSU Hub for Earth System Modeling within the College of Earth, Ocean and Atmospheric Science at Oregon State University. The hub will be comprised of faculty from any/all areas of Earth System Science, including the oceans, atmosphere, biosphere, cryosphere, and hydrosphere (i.e., freshwater systems) with expertise in cutting edge computational and modelling approaches. These may include one or more of the following:

  1. Climate effects and Earth system solutions (e.g., feedbacks, trends, extremes, human and ecological impacts, geoengineering)

  2. Modeling, prediction and causal inference (e.g., state estimation, inference, analysis, adaptive observation, parameterization, learning from Earth history),

  3. Technical tools in the computational domain (e.g., GPU numerics, Artificial Intelligence, machine learning, inverse modeling)

Applications deadline: 31.05.2025

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