The postdoctoral researcher will work on robot learning for manipulation, exploring state-of-the-art Vision–Language–Action (VLA) models for tabletop and mobile manipulation. A key focus is leveraging whole-body, humanoid-style motion to improve perception and control, enabling robots to solve complex tasks that require coordinated base-arm-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, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and learning-based manipulation in simulation and/or real systems is especially valued.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
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Tagged as: Engineering, Physics
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