Internship - Audio Processing for Moving Sounds

About the role

We are seeking graduate students interested in helping advance the understanding of applying sophisticated audio processing techniques (e.g., source separation, localization, anomalous sound detection) to moving sound sources (e.g., vehicles). The interns will collaborate with MERL researchers to derive and implement novel algorithms, record data, conduct experiments, and prepare results for publication.

Responsibilities

• Collaborate with MERL researchers to derive and implement novel algorithms
• Record data and conduct experiments
• Prepare results for publication

Requirements

• Senior Ph.D. students
• Experience in audio signal processing
• Experience in microphone array processing
• Experience in source separation
• Experience in physics informed machine learning
• Experience in outlier detection
• Experience in unsupervised learning

Qualifications

• Full authorization to work in the U.S.
• Government authorization for the release of export-controlled items

Skills

• Audio signal processing
• Microphone array processing
• Source separation
• Physics informed machine learning
• Outlier detection
• Unsupervised learning

Benefits

• Relocation stipend
• Covered travel to and from MERL
• Monthly Charlie Card for local commuting
• Weekly social gatherings and professional development opportunities
• Health insurance coverage after 90 days
• Immigration support for qualified candidates

Pay

The pay range for this internship position will be 6-8K per month.

Schedule

Internships typically last 12 months.