Master's degree in robotics, computer science, artificial intelligence, electrical engineering, mechanical engineering, mechatronics, or a related field
Required Previous Experiences
Experience developing and deploying real-robot learning systems
Background in robot manipulation, visuomotor learning, and robot control
Familiarity with Behavior Cloning, reinforcement learning, VLA, Diffusion Policy, or other robot learning methods
Experience collecting real-robot data, building trajectory datasets, and evaluating closed-loop policies
Ability to independently design experiments, analyze failures, and iterate real-robot systems
Preferred Qualifications
Familiarity with Isaac Sim, MuJoCo, or NVIDIA Omniverse
Experience with humanoid or high-dexterity robots
Publication of high-quality papers in robot learning, manipulation, or embodied AI
Experience leading research projects or guiding teams