Trustworthy AI for Real-Time Multi-Energy Control

MINES Paris PSL; Valbonne; Sur place; EUR 20 000 - 27 000; Plein temps

Avantages offerts par ce poste

PhD funding

Real-time simulation facilities

Résumé du poste

Mines Paris-PSL invites applications for a PhD thesis on Trustworthy AI for Predictive Control of Multi-Energy Systems. The project develops a safe, real-time AI framework coordinating energy vectors with storage and conversion technologies.

Researchers will build a digital twin simulation, explore learning-based control, and validate through Hardware-in-the-Loop experiments, aiming for robust, uncertainty-aware decisions.

Qualifications

• Engineer or MSc with strong background in control and AI for energy systems.
• PhD start can be after degree; applicants may apply before completing their Master's.

Responsabilités

• Develop a trustworthy AI framework for predictive control of multi-energy systems.
• Build a simulation framework (digital twin) for diverse operating scenarios.
• Validate methods via real-time simulation and Hardware-in-the-Loop experiments.

Connaissances

Multi-energy systems

Trustworthy AI

Predictive control

Reinforcement learning

Physics-informed AI

Real-time simulation

Hardware-in-the-Loop

Energy flexibility

Formation

Master of Science in engineering or science

Outils

Real-time simulation tools

Digital twin concepts

Description du poste

Mines Paris-PSL invites applications for a PhD thesis on Trustworthy AI for Predictive Control of Multi-Energy Systems. The project develops a safe, real-time AI framework coordinating energy vectors with storage and conversion technologies.

Researchers will build a digital twin simulation, explore learning-based control, and validate through Hardware-in-the-Loop experiments, aiming for robust, uncertainty-aware decisions.