SA0331: Internship - Neural Spatial Audio Processing We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization, detection, and captioning). The interns will work closely with MERL researchers to develop novel algorithms, measure data, and prepare results for publication. Internships regularly lead to one or more publications in top-tier venues, which can later become part of the intern's doctoral work. The ideal candidates are senior PhD students with experience in some of the following: audio signal processing, microphone array processing, physics informed machine learning, and 3D modeling in computer vision. The expected starting date is early 2027. Required Specific Experience Experience with deep learning frameworks (e.g., PyTorch and JAX)

Research experience in audio signal processing and/or array signal processing The pay range for this internship position will be 6-8K per month.

Research Areas:

Speech & Audio, Signal Processing

Host:

Yoshiki Masuyama

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