Internship - Robot Learning and Perception for Disassembly
About The Position
MERL is seeking a highly motivated and qualified intern to contribute to the next generation of adaptive industrial robotics applications. The internship will focus on developing and validation of robust robotic disassembly solutions offering the opportunity to participate in cutting-edge research at the intersection of robotics, artificial intelligence, and sustainable manufacturing. There are several research topics of interest, including visual perception for disassembly guidance and planning, vision-language models for acting under uncertainty, and robot learning for manipulation. Applicants must be Ph.D. students with strong backgrounds in robot learning and computer vision. The selected intern will collaborate closely with MERL researchers to design and implement novel algorithms, conduct experiments, and disseminate research findings through a top-tier conference. The start date and duration are flexible, and interested applicants are encouraged to apply with an updated CV and a list of relevant publications.
Requirements
- Applicants must be Ph.D. students with strong backgrounds in robot learning and computer vision.
- Demonstrated experience in computer vision, robot learning, or vision-language models for robotic applications.
Responsibilities
- design and implement novel algorithms
- conduct experiments
- disseminate research findings through a top-tier conference
Benefits
- relocation stipend
- covered travel to and from MERL
- monthly Charlie Card for local commuting
- participation in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers
- health insurance coverage (Interns who meet the 90-day waiting period)
- immigration support for qualified candidates as needed
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What This Job Offers
Career Level
Intern
Industry
Professional, Scientific, and Technical Services
Education Level
Ph.D. or professional degree
Number of Employees
101-250 employees
