Role OverviewWe are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding. Interns will work closely with MERL researchers to develop novel algorithms, measure data, and prepare results for publication.
What You Will Do
Interns will develop novel algorithms, measure data, and prepare results for publication. Internships regularly lead to one or more publications in top-tier venues.
Why It Might Be a Fit
The ideal candidates are senior PhD students with experience in audio signal processing, microphone array processing, physics informed machine learning, and 3D modeling in computer vision.
Requirements
- Experience with deep learning frameworks (e.g., PyTorch and JAX)
- Research experience in audio signal processing and/or array signal processing
Benefits
- Relocation stipend
- Covered travel to and from MERL
- Monthly Charlie Card for local commuting
- Health insurance coverage after 90-day waiting period
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