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Scientist in AI-based emulator for High-Resolution Sea Ice Modeling
vor 1 Monat
Join a collaborative team at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) to develop an AI-based emulator for high-resolution sea ice modeling.
BackgroundThe Climate Dynamics section of AWI is seeking applications for a position focused on developing an AI-based emulator for high-resolution sea ice modeling in climate research. This project has a strong AI component, and there will be close cooperation with other national and international projects developing AI solutions for geoscience.
Your TasksAs a scientist in this position, you will be responsible for:
- Developing an AI-based sea ice model emulator based on high-resolution FESOM2 simulations and potentially incorporating observational data.
- Adapting the AI-based sea ice emulator for various downstream tasks, including short-term forecasting, temporal interpolation between time steps, regional downscaling to higher resolutions, observation-constrained model correction.
- Extending the emulator to include advanced sea ice thermodynamics provided by ICEPACK.
- Publishing the results of these developments in scientific literature.
To be successful in this role, you will have:
- A master's degree in computer science, software engineering, artificial intelligence, data science, applied mathematics, computational science, oceanography, climate sciences, meteorology, environmental sciences, Earth system sciences, physics, or related fields.
- Demonstrated experience working with *nix systems.
- Very good English knowledge (C1).
- Good knowledge and practical experience in data science and/or AI/ML.
Having one or several of the following skills would be advantageous:
- Experience developing AI-based emulators for geophysical models.
- Experience running geophysical models, especially those for sea ice, ocean, atmosphere, or climate.
- Knowledge of sea ice physics.
- Familiarity with unstructured grid models for ocean, sea ice, or atmosphere.
- Experience with HPC systems.
- Knowledge of Python and Python-based libraries for machine learning and numerical computing (e.g., PyTorch, TensorFlow, Keras, JAX).
- Experience working with geophysical data formats (netCDF, GRIB, HDF).
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research offers a diverse work environment with collaboration and cooperation across disciplines, departments, and institutions. The institute values diversity and actively promotes gender parity, as well as an open, inclusive environment that provides equal opportunities. We welcome applications from qualified people regardless of binary and non-binary genders, race and nationality, ethnic and social background, religion, age, physical abilities, neurodivergence, sexual orientation, and other identities.
How to ApplyPlease submit your application exclusively online by February 27th, 2025. Reference number: 25/17/D/Kli-b. We look forward to your application