OR0329: Internship - Robotic Disassembly

MERL is seeking a highly motivated Ph.D. intern to conduct research in robotic disassembly. The project will focus on developing learning-based methods for dexterous manipulation, robot perception, and sim-to-real deployment, including tasks such as small-object manipulation and handover. The selected intern will collaborate closely with MERL researchers to develop and implement novel algorithms, conduct experiments on robotic platforms, and publish research findings at top-tier robotics and AI conferences. The internship start date and duration are flexible.

Required Specific Experience

• Current enrollment in a Ph.D. program
• Research experience in robot learning, manipulation and perception
• Experience with robot simulation and sim-to-real transfer using platforms such as Isaac Lab, MuJoCo or Genesis
• Strong programming skills in Python or C++
• Demonstrated research potential and publications in leading robotics, computer vision, or machine learning venues

Interested applicants should apply with an updated CV and a list of relevant publications.