Internship - Human-Robot Interaction Based on Multimodal Scene Understanding

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    Mitsubishi Electric Research Laboratories

    51-200 employeesFounded 1991Cambridge, MAResearch
    Actively hiringPaidVisa sponsorshiprollingResearch
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    Best applied by Oct 27

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    About the role#

    Mitsubishi Electric Research Laboratories is looking for a graduate student to join the Speech and Audio department. You will focus on multimodal scene understanding, specifically using natural language for robot dialog or indoor monitoring with large language models. This role involves working with researchers to develop new models and optimization methods. Interns often produce work that leads to publications in top-tier venues.

    What you'll do#

    • Derive and implement new models and optimization methods.
    • Conduct experiments to test your research.
    • Prepare results for publication.

    What you'll need#

    • You are a senior Ph.D. student.
    • Experience in deep learning for audio-visual, signal, and natural language processing.
    • Strong programming skills in Python.
    • Knowledge of deep learning frameworks such as PyTorch.
    • Experience with ROS2 and C/C++.

    Location & details#

    • Location: Cambridge, Massachusetts.
    • Modality: On-site.
    • Term: Rolling start dates throughout 2027 with a typical duration of 3 to 6 months.
    • Compensation: 6,000 to 8,000 dollars per month.
    • Additional benefits include a relocation stipend, travel coverage, and a monthly Charlie Card for commuting. Health insurance is available after a 90-day waiting period. Sponsorship is provided as needed.

    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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