Internship: Wave-based Inverse Scattering

Cambridge, Massachusetts, United States · SP · 1330 expand job description ↓


The Computational Sensing team at MERL is seeking a motivated and qualified individual to conduct research on computational imaging through scattering media under wave-based forward models. The ideal candidate should be a Ph.D. student and have a solid background and publication record in imaging inverse problems, large-scale optimization, blind inverse scattering, and/or radar imaging. Experience with experimentally measured data is desirable. Publication of the results produced during the internship is expected. The duration of the internship is anticipated to be 3-6 months. Start date is flexible.

Research Areas: Computational Sensing

Contact: Hassan Mansour

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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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).
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