Energy Data Spaces and AI for Power Systems

Postdoc

Delhi Technological University seeks postdoc researchers willing to be part of a world-leading research environment and contribute to the development of the next generation of scientific machine-learning tools for power systems. One Postdoc will be the scientific lead of a small DTU team, coordinating our scientific activities on two European projects: SYNERGIES and ODEON. The goal of the two projects is to establish a Digital Twin infrastructure at DTU, connecting power system simulations with energy data spaces, and develop state-of-the-art methods that will use the digital twins to enhance power system flexibility and resilience. The second postdoc will focus on establishing a solid foundation for trustworthy machine-learning tools and physics-informed neural networks for power system applications.