PhD Robotics Intern: Dexterous Manipulation & Disassembly

Mitsubishi Electric Research Laboratories, Inc.; Cambridge (MA); On-site; USD 67,000 - 89,000; Part time

Benefits offered by this job

Relocation stipend

Travel covered to/from MERL

Charlie Card for local commuting

Health insurance eligibility

Job summary

Mitsubishi Electric Research Laboratories (MERL) is offering a PhD internship in robotics disassembly. The project focuses on learning-based dexterous manipulation, robot perception, and sim-to-real deployment, with experiments on robotic platforms.

The internship is flexible in start date and duration, and collaboration with MERL researchers is emphasized. The role emphasizes strong PhD candidates with publication potential, and experiences in Python/C++, with platforms like MuJoCo, Genesis, or

Qualifications

• 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

Responsibilities

• Conduct research in robotic disassembly and learning-based methods for dexterous manipulation.
• Collaborate with MERL researchers to develop algorithms and run experiments on robotic platforms.
• Publish research findings at top-tier robotics and AI conferences.
• Support sim-to-real deployment and benchmarking on robotic platforms.

Skills

Python

C++

Robot learning

Perception

Simulation

Sim-to-real

Publications

Education

Current PhD enrollment

Tools

MuJoCo

Genesis

Isaac Lab

Job description

Mitsubishi Electric Research Laboratories (MERL) is offering a PhD internship in robotics disassembly. The project focuses on learning-based dexterous manipulation, robot perception, and sim-to-real deployment, with experiments on robotic platforms.

The internship is flexible in start date and duration, and collaboration with MERL researchers is emphasized. The role emphasizes strong PhD candidates with publication potential, and experiences in Python/C++, with platforms like MuJoCo, Genesis, or