Robotics Research, Humanoid Manipulation Intern (Spring 2027) | PhD

Job description

Job responsibilities

• Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
• Explore loco-manipulation problems that integrate perception, planning, and control.
• Work towards super-human dexterity, developing systems that outperform human teleoperation.
• Work towards publishing a paper in a leading robotics conference/journal
• Work closely with other researchers, both internal and external.
• Present your work at Field at robotic conferences
• Support data collection pipelines used to train robotics foundation models.
• Work with embodiment-agnostic representations to enable transfer across robot platforms.

Job requirements

• Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field.
• Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
• Strong foundation in robot kinematics, dynamics, and control.
• Proficiency in Python and/or C++, with experience using robotics or ML tooling.
• Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
• Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
• Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)