PhD position in data-driven control, reinforcement learning, reliable ML, and multi-agent systems North Carolina State University in United States

MIT is advertising a postdoctoral researcher opportunity in networked systems , power-grid topology control , and reinforcement learning . The research sits at the intersection of multi-agent systems , control , optimization , and learning for complex systems , with applications to large-scale power-grid decision-making. The postdoc will work on challenging problems such as distributed coordination across many interacting components, non-stationary operating conditions, and actions that must sat...

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...

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 ...

Assistant Professor Mingyu Kim at Georgia Southern University is recruiting a PhD student for research in control theory and systems , applied mathematics , optimization , machine learning , robotics , and autonomous systems . The opportunity is based in the Department of Electrical and Computer Engineering at Georgia Southern University (United States). The post emphasizes research at the intersection of control, learning, optimization, and autonomous systems, with a preference for candidates w...

This opportunity is centered on limbed robotics and the development of dynamic whole-body mobility and manipulation for autonomous robot platforms. The work aims to improve robust autonomous behaviors for agile traversal and manipulation in complex environments, with emphasis on how robots move, balance, and interact with their surroundings. The project uses physics-based, multi-body simulation to support the design of robot behaviors and to build understanding of the dynamics governing the syst...