Internship - Vision-Language-Action (VLA) Models for Robotic Manipulation

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    Mitsubishi Electric Research Laboratories

    51-200 employeesFounded 1991Cambridge, MAResearch
    Actively hiringPaidVisa sponsorshiprollingResearch
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    Best applied by Sep 13

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    About the role#

    We are looking for a Ph.D. student to join our team for a research internship focused on Vision-Language-Action (VLA) models for robotic manipulation. You will work with our researchers to improve the reliability and effectiveness of these models in real-world tasks. The position involves developing new algorithms and testing them in both simulation and physical environments.

    What you'll do#

    • Research VLA models for robotic manipulation.
    • Develop and implement novel algorithms.
    • Conduct experiments in simulation and on physical robots.
    • Deploy and evaluate learning-based policies.
    • Share your research findings at robotics conferences.

    What you'll need#

    • Current enrollment in a Ph.D. program.
    • Background in robot learning for manipulation.
    • Hands-on experience with VLA models like pi0, OpenVLA, Octo, or GR00T N1.
    • Proficiency in Python, ROS, and deep learning frameworks like PyTorch.
    • Experience with robotic simulation and sim-to-real transfer.
    • Experience deploying policies on physical robots.
    • A strong publication record or evidence of research potential.

    Location & details#

    • Location: Cambridge, Massachusetts.
    • Modality: On-site.
    • Employment: Full-time.
    • Term: Rolling.
    • Compensation: Paid (6-8K per month).
    • Sponsorship: Available for qualified candidates.

    About Mitsubishi Electric Research Laboratories

    Mitsubishi Electric Research Laboratories is the United States subsidiary of the corporate research and development division of Mitsubishi Electric Corporation. Founded in 1991 and based in Cambridge, Massachusetts, the organization employs between 51 and 200 people. It conducts basic and applied research in fields such as artificial intelligence, signal processing, and multi-physical modeling. The laboratory publishes its findings to support collaboration with the global research community.

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