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

North Carolina State University’s Hybrid Intelligent Experimental Robotics Laboratory (HIER Lab) is recruiting PhD students in Robotics , with a focus on humanoid/legged robotics , robot learning , embodied AI , foundation models , whole-body control , and AI/ML-based intelligent manipulation . The opening is at North Carolina State University in the United States . The post indicates that students will work on projects involving foundation models for humanoid robots and other robotics research ...

Fully funded PhD opportunity at the University of New Hampshire (USA) The Energy Control and Optimization (ECO) Lab at the University of New Hampshire is accepting applications for two fully funded PhD positions starting in Fall 2026 / Spring 2027 . Research areas: Cybersecurity for Marine Cyber-Physical Systems; Control and Reinforcement Learning for Marine Cyber-Physical Systems. Ideal background: Applicants should hold a Master's degree in Electrical Engineering, Computer Engineering, Compute...

Fully funded PhD positions are available at the Energy Control and Optimization (ECO) Lab, University of New Hampshire (UNH), in the United States. The projects focus on Cybersecurity for Marine Cyber-Physical Systems and Control & Reinforcement Learning for Marine Cyber-Physical Systems . These topics sit at the intersection of Computer Science , Electrical Engineering , Mechanical Engineering , Robotics , AI/ML, and control systems, with a strong applied research angle in marine and cyber-phys...

Stanford Movement Lab is hiring postdoctoral researchers to work on cutting-edge problems in humanoid robotics and dexterous manipulation . The lab is especially interested in candidates with strong expertise in robot learning , including vision-language-action models , reinforcement learning , diffusion and flow-based models , physics-based simulation , and learning for whole-body control and manipulation . Ideal applicants should have deep technical knowledge of modern robot learning methods a...

Fully funded M.S. and Ph.D. opportunities are available at the University of Tulsa for students interested in control systems , dynamical systems , optimization , machine learning for control , robust and resilient control , state estimation , fault diagnosis , safe learning and autonomy , multi-agent systems , cyber-physical systems , and applications in robotics , transportation , and aerospace . The post says the group expects fully funded Research/Teaching Assistantships for qualified candid...