Postdoctoral Position in Robot Learning, AI, Robotics, and Control at Carnegie Mellon University Carnegie Mellon University in United States

Carnegie Mellon University’s LeCAR Lab (Learning and Control for Agile Robotics) is advertising a postdoctoral position in robot learning. The lab, led by Assistant Professor Guanya Shi, works at the intersection of AI, robotics, and control, with a focus on building reliable, adaptive, and efficient learning and control methods for generalist robots with agility.

The post highlights several possible research directions, including learning from human data with physics grounding for mobile robots, humanoids, and dexterous hands; robot learning science and the study of key algorithmic principles such as action representation, training dynamics, and architecture; real-world policy adaptation including in-context adaptation and policy steering/guidance; and agentic robot learning. The role is especially relevant for candidates interested in robot learning, reinforcement learning, control, and generalist robotics.

The post does not mention a deadline, salary, or formal funding package, but it is clearly a postdoc opening at CMU. Interested applicants are directed to contact Guanya Shi by email and visit the lab website for more information.

Contact: [email protected]
Lab website: lecarlab.github.io