Postdoc in Robot Learning for Manipulation

Postdoctoral Researcher in Robot Learning for Manipulation The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art Vision–Language–Action (VLA) models for tabletop, mobile, or dexterous manipulation. A key focus is leveraging whole-body motion and/or dexterous, multi-fingered hands to improve perception and control, enabling robots to solve complex, contact-rich tasks that require coordinated base, arm, and hand behaviors in dynamic environments. We seek candidates with a strong background in robotics and machine learning, and demonstrated experience in at least two of the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, grasping, and dexterous or mobile manipulation.