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Artificial intelligence (AI) methods have the potential to significantly advance and transform Earth system sciences, particularly given the complexity of the Earth system as a dynamic system of interacting components. Traditional simulation often reaches its limits, primarily due to this complexity. We are seeking a creative thinking person who works at the intersection for AI research and physical modelling. The goal of this position is to develop data-driven approaches to AI-based analysis of complex interaction systems and suitable hybrid architectures for this purpose. This involves taking up current developments in the field of AI (e.g., Generative AI, Edge AI, Sustainable AI, Agentic AI) and translating them into concrete application scenarios.

Your responsibilities:

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• Conducting research in the field of method development for physics-informed/physics-aware AI
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• Developing generative AI methods i...