MERL – Electric machine operation analysis Intern

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 MERL’s employees to perform their job duties may result in discipline up to and including discharge.

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

  • MERL is looking for a self-motivated intern to work on electric machine experiments and signal processing. The ideal candidate would be a Ph.D. candidate in electrical engineering with solid research background in electric machines, power electronics, and signal processing. Experience in dSPACE is required. Proficiency in MATLAB and simulink is necessary. The intern is expected to collaborate with MERL researchers to carry out experiments, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is 3 months.
  • Research Areas: Data AnalyticsElectric SystemsSignal Processing
  • Host: Dehong Liu

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