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SA0182: Internship - Spatial Audio
We are seeking graduate students interested in helping advance the fields of Spatial Audio, room acoustics, and physics informed deep learning. The interns will collaborate with MERL researchers to derive and implement novel algorithms, record data, conduct experiments, 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 Ph.D. students with experience in some of the following: audio signal processing, microphone array processing, physics informed machine learning, outlier detection, and unsupervised learning.
- Research Areas: Speech & Audio, Machine Learning, Artificial Intelligence
- Host: Gordon Wichern
- Apply Now