Internship - Robot Learning and Perception for Disassembly
Company: Mitsubishi Electric Research Laboratories
Location: Cambridge
Posted on: April 2, 2026
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Job Description:
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. Required Specific Experience Demonstrated experience
in computer vision, robot learning, or vision-language models for
robotic applications. The pay range for this internship position
will be 6-8K per month. Mitsubishi Electric Research Labs, Inc.
"MERL" provides equal employment opportunities (EEO) to all
employees and applicants for employment without regard to race,
color, religion, sex, national origin, age, disability or genetics.
In addition to federal law requirements, MERL complies with
applicable state and local laws governing nondiscrimination in
employment in every location in which the company has facilities.
This policy applies to all terms and conditions of employment,
including recruiting, hiring, placement, promotion, termination,
layoff, recall, transfer, leaves of absence, compensation and
training. MERL expressly prohibits any form of workplace harassment
based on race, color, religion, gender, sexual orientation, gender
identity or expression, national origin, age, genetic information,
disability, or veteran status. Improper interference with the
ability of MERL?s employees to perform their job duties may result
in discipline up to and including discharge. Working at MERL
requires full authorization to work in the U.S and access to
technology, software and other information that is subject to
governmental access control restrictions, due to export controls.
Employment is conditioned on continued full authorization to work
in the U.S and the availability of government authorization for the
release of these items, which might include without limitation,
obtaining an export license or other documentation. MERL may delay
commencement of employment, rescind an offer of employment,
terminate employment, and/or modify job responsibilities,
compensation, benefits, and/or access to MERL facilities and
information systems, as MERL deems appropriate, to ensure practical
compliance with applicable employment law and government access
control restrictions. In addition to base pay, interns receive a
relocation stipend, covered travel to and from MERL, and a monthly
Charlie Card for local commuting. Interns are invited to
participate in weekly social gatherings and professional
development opportunities, including research talks by both
internal and external speakers. Interns who meet the 90-day waiting
period are also eligible for health insurance coverage. MERL
provides immigration support for qualified candidates as needed.
Employment is considered ?at-will,? and the Company reserves the
right to modify base salary or any other compensation program at
any time, including for reasons related to individual performance,
departmental or Company performance, and market conditions.
Keywords: Mitsubishi Electric Research Laboratories, Newton , Internship - Robot Learning and Perception for Disassembly, Engineering , Cambridge, Massachusetts