Internship - Neural Spatial Audio Processing

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Mitsubishi Electric Research Laboratories

51-200 employeesFounded 1991Cambridge, MAResearch
Actively hiringPaidVisa sponsorshipWinter 2027Research
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Best applied by Jan 11

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About the role#

Mitsubishi Electric Research Laboratories is seeking graduate students for a research internship focused on neural spatial audio processing. You will work alongside researchers to advance work in room acoustics, physics informed machine learning, and scene understanding, including sound source localization, detection, and captioning. This position is intended for senior PhD students and often leads to publications in top-tier venues.

What you'll do#

  • Develop novel algorithms for spatial audio and scene understanding.
  • Measure data to support research objectives.
  • Prepare results for publication.
  • Collaborate directly with the MERL research team.

What you'll need#

  • Current enrollment as a senior PhD student in Computer Science, Physics, Computer Engineering, or Electrical Engineering.
  • Practical experience with deep learning frameworks like PyTorch and JAX.
  • Research background in audio signal processing or array signal processing.
  • Knowledge of spatial audio, room acoustics, physics informed machine learning, or 3D modeling in computer vision.

Location & details#

  • Location: Cambridge, Massachusetts.
  • Term: Winter 2027.
  • Modality: On-site.
  • Employment: Full-time internship.
  • Compensation: 6,000 to 8,000 USD per month.
  • Benefits: Includes a relocation stipend, travel coverage, a monthly Charlie Card for local commuting, and health insurance eligibility after a 90-day waiting period.
  • Requirements: Full authorization to work in the United States is required. MERL provides immigration support for qualified candidates 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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