Postdoctoral Research Associate in Control Systems, Artificial Intelligence, and Scientific Machine Learning for Fusion Energy Lehigh University in United States

Funded PhD position in Robot Learning at the Laboratory of Automation and Robotics (LAR) , ECE Department, University of Patras . The project focuses on reinforcement learning , optimal control , model predictive control (MPC) , evolutionary robotics , quality-diversity , and learning/optimization methods for adaptive robotic systems. The lab emphasizes research that transfers beyond simulation to real robots. Students will have access to a wide range of robotic platforms, including Unitree Go2 ...

The Lehigh University Plasma Control Laboratory is recruiting a postdoctoral researcher to join the Lehigh University Plasma Control Group and contribute to computational fusion plasma physics research focused on turbulent transport, energetic-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The project combines high-fidelity simulations, reduced transport modeling, experimental validation, and machine learning. The postdoc...

This postdoctoral fellowship at DEVCOM Army Research Laboratory focuses on machine learning for state estimation and decision propagation in highly heterogeneous environments where humans are coupled to machine decision agents. The project is framed around a Network of Networks research program and aims to develop novel theories, validation experiments, and hardware implementations for human-in-the-loop reinforcement learning , transfer learning , and the transfer of learned behavior across hete...

The National Laboratory of the Rockies (NLR) is seeking a full-time Postdoctoral Researcher in Mathematical Optimization for Energy Systems in Golden, Colorado. The position is based in the Advanced Computing Solutions Group within the NLR Computational Science Center. The researcher will develop and apply mathematical optimization methods to the design and control of energy systems. Research may combine linear, nonlinear, integer, and stochastic optimization with artificial intelligence techniq...

PhD stipend at Aalborg University in Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems . This 3-year PhD project sits at the intersection of electrolysis systems , Power-to-X , digital twins , dynamic modelling , control , and energy-system optimization . The successful candidate will help develop system-level digital-twin and optimization methodologies that integrate electrolyzer models with renewable generation, power conversion, energy and hydrogen storage, downs...