Internship: Source separation

Cambridge, Massachusetts, United States · MM · 1123 expand job description ↓


We are seeking graduate students interested in helping advance the field of source separation, speech enhancement in extreme environments, and audio reconstruction (inpainting, bandwidth extension, synthesis), using the latest developments in deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in audio signal processing, speech modeling, probabilistic modeling and deep learning. The duration of the internship is expected to be 3-6 months. Positions are currently available through Summer 2018.

Research Area: Multimedia

Contact: Jonathan Le Roux

Do you have a LinkedIn account? Import your resume and save time!

Personal information
Your Profile
Application Details
Are you qualified to apply for an internship at MERL? Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
Have you worked at MERL before?