Cambridge Internship Program - Robotics Systems and Control

Collaborate across disciplines to develop impactful solutions for datacenter automation and next-generation intelligent systems. Work alongside leading experts, leverage state-of-the-art technology, and contribute to projects that shape the future of computing.

Lead and collaborate on innovative robotics research projects, designing, prototyping, and validating new algorithms and control strategies. Design Real2Sim and Sim2Real strategies for robot model learning and robot motion planning for a custom robot.

Work closely with a multidisciplinary team to address both fundamental and applied research challenges. Plan, design, and execute experiments to test and validate prototypes in simulation and real-world scenarios.

Join a vibrant, mentor-guided research community for a 12-week internship, collaborating with fellow interns and leading researchers. Enrolled in PhD program (or recently completed) in Computer Science, Robotics, Mechanical/Electrical Engineering, or a closely related field.

Demonstrated expertise in one or more areas of robotics, such as kinematics, dynamics, and motion control. Experience with robotic simulators - e.g. MuJoCo, IsaacSim etc.

Ability to thrive in collaborative, multidisciplinary teams. Proficiency in programming languages such as Python and/or C++ for simulation development, integration, or data pipeline automation.

Strong publication record in top robotics venues (e.g., ICRA, RA-L, IROS, CoRL). Demonstrated expertise in one or more areas of robotics, such as manipulation and grasping, perception, kinematics, dynamics, and motion control.

Hands-on experience programming robots, developing control system algorithms, and integrating software with hardware.