PhD Robotics Internship: Humanoid Manipulation & Research

Lever, Inc.; Boston (MA); On-site; USD 55,000 - 83,000; Part time

Benefits offered by this job

Publication opportunities

Mentorship by researchers

Job summary

FieldAI is seeking a PhD student internship in Boston to advance humanoid manipulation research at the intersection of robotics and applied engineering.

You will contribute to manipulation strategies, multi-domain integration of perception, planning, and control, and work toward publishing results in top robotics venues.

Collaborate with researchers and engineers, contribute to robotics foundation model development, and gain hands-on experience with real hardware and simulations.

Qualifications

• 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.
• Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)

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 publishing a paper in a leading robotics conference/journal.
• Present your work at FieldAI robotics conferences and internal meetings.
• Contribute to data collection and learning framework development for robotics models.

Skills

Python

C++

ROS/ROS2

Robotic manipulation

Kinematics and dynamics

Publications

Research experience

Education

PhD candidate in Robotics / CS / ME / EE / AI/ML

Tools

ROS/ROS2

Job description

FieldAI is seeking a PhD student internship in Boston to advance humanoid manipulation research at the intersection of robotics and applied engineering.

You will contribute to manipulation strategies, multi-domain integration of perception, planning, and control, and work toward publishing results in top robotics venues.

Collaborate with researchers and engineers, contribute to robotics foundation model development, and gain hands-on experience with real hardware and simulations.