Internship Openings

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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.

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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 Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

  • SA1464: Joint localization and classification of sound events

    • We are seeking a graduate student interested in helping advance the field of multi-channel sound localization and classification using acoustic sensor networks in challenging multi-source and far-field scenarios. 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, beamforming/array processing, probabilistic modeling, and deep learning. The internship will be performed remotely, and candidates both from within the US and outside of the US are welcome to apply. The expected duration of the (virtual) internship is 3-6 months with a start date between Fall 2020 and early 2021.

    • Research Areas: Speech & Audio
    • Host: Gordon Wichern
    • Apply Now