Scientist for Climate Data Analysis and AI Methods in Destination Earth (d/f/m/x)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Job Description
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) is a member of the Helmholtz Association (HGF) and funded by federal and state government. AWI focuses on polar and marine research in a variety of disciplines such as biology, oceanography, geology, geochemistry and geophysics thus allowing multidisciplinary approaches to scientific goals. Scientist for Climate Data Analysis and AI Methods in Destination Earth (d/f/m/x) Background The Climate Dynamics section of the AWI in Bremerhaven, Germany, invites applications for a scientist to analyse and exploit the unique climate simulations produced within the Destination Earth Climate Digital Twin (Climate DT) Phase 3.
Destination Earth is a flagship initiative of the European Union to develop a digital twin of the Earth's climate system. Climate DT delivers global kilometre-scale climate simulations with unprecedented spatial and temporal resolution, enabling investigations of weather and climate extremes, climate variability, and future climate change under a wide range of scenarios. These simulations provide a unique opportunity to advance scientific understanding of the Earth system while supporting climate adaptation and decision-making.
At AWI, we develop and operate one of the core climate models of Climate DT, IFS-FESOM. You will work closely with scientists developing the climate model, AI methodologies, and digital twin infrastructure, as well as with leading European climate scientists and software engineers.
We are seeking a highly motivated scientist who is excited by the scientific opportunities offered by global kilometre-scale climate simulations. You will investigate the added value of Climate DT simulations for understanding weather and climate processes, extremes, and climate change.
A particular focus will be on developing innovative analysis approaches that make effective use of modern artificial intelligence, machine learning, and agentic AI systems to analyse and interpret the unprecedented volume of climate data produced by Destination Earth. bit.ly/3NGPzQQ