Privacy-Preserving AI and Knowledge Graphs for Energy Digital Twins

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Do you want to contribute to the future of sustainable energy systems while addressing fundamental challenges in privacy, trust, and explainability?

A 4-year full-time, fully-funded PhD position is available at the Knowledge in Artificial Intelligence (KAI) group and the User-Centric Data Science (UCDS) group of the Vrije Universiteit Amsterdam, in close collaboration with TU Delft and societal partners including the Municipality of Alkmaar and Arnhem Electricity Campus, as part of the NWO-funded KIC project FEDERATE: Fair Energy Data Environments for Renewable Autonomous Twin Empowerment.

The energy transition increasingly relies on data-driven digital twins that integrate information from municipalities, energy providers, grid operators, and other stakeholders. While sharing data enables better planning, optimization, and decision-making, it also raises important challenges regarding privacy, data ownership, regulatory complianc...