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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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to ensure project success. Additionally, Empa offers outstanding infrastructure, career support, networking opportunities, and competitive salaries. The position is available from January 2026 or after
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, networking opportunities, and competitive salaries. The position is available from January 2026 or after negotiation with a duration of four years. We live a culture of inclusion and respect. We welcome all
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project (Decarbonization of Heating and Cooling), we are seeking a motivated and qualified PhD candidate to design integrated district heating and cooling systems. Future thermal networks based on renewable