IITIS-PAN is recruiting two fully funded PhD Students to work with Professor Erol Gelenbe on the EU Marie Skłodowska-Curie Program SAILING on "Smart, secure and sustainable energy management". The work of the two PhDs will be based on Prof. Gelenbe’s previous research in the areas of Energy Packet Network Models, G-networks, and Random Neural Networks, and focuses on addressing key research challenges such as:
• the intermittency and unpredictability of renewable energy sources, combined with rapidly changing energy demand,
• the need for resilient and secure management of large-scale distributed energy systems.

The research challenges include:
• the development of accurate real-time digital models (digital twins),
• securing artificial intelligence–based solutions,
• the optimization of energy consumption,
• rapid detection of faults and failures.

The SAILING project unites leading academic and industrial partners to create smart energy management and fault-diagnosis systems powered by advanced digital twin technology and secure AI, with AI-driven, high-fidelity digital twins, blockchain-secured AI, predictive energy optimisation, and deep learning for rapid fault detection, and will train early-career scientists to help create more efficient Internet of Energy systems.

More information is in the attached files

Documents submission deadline: February 28th 2026 (the date of receipt by IITiS PAN is decisive).