Internship - Sound event and anomaly detection

Mitsubishi Electric Research Labs • Cambridge, MA

72d

About The Position

We are seeking graduate students interested in helping advance the fields of machine sound source separation, sound event detection/localization, anomaly detection, and physics informed deep learning for machine sounds in extremely noisy conditions. The interns will collaborate with MERL researchers to derive and implement novel algorithms, record data, conduct experiments, integrate audio signals with other sensors (electrical, vision, vibration, etc.), 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, audio source separation (music, speech, or general sounds), microphone array processing, sound event localization and detection, anomaly detection, and physics informed machine learning. Multiple positions are available with flexible start dates (not just Spring/Summer but throughout 2026) and duration (typically 3-6 months). Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

Requirements

• senior Ph.D. student
• experience in some of the following: audio signal processing, audio source separation (music, speech, or general sounds), microphone array processing, sound event localization and detection, anomaly detection, and physics informed machine learning
• full authorization to work in the U.S
• access to technology, software and other information that is subject to governmental access control restrictions, due to export controls

Responsibilities

• collaborate with MERL researchers to derive and implement novel algorithms
• record data
• conduct experiments
• integrate audio signals with other sensors (electrical, vision, vibration, etc.)
• prepare results for publication

What This Job Offers

• Career Level: Intern
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees