Internship Openings

3 / 25 Intern positions were found.

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).

Rising to the challenges of COVID-19

As the COVID-19 pandemic continues to evolve, MERL is committed to providing a safe environment for everyone, during these challenging times.

If you believe you meet the qualifications of one of our open internships, please consider applying for the position of interest. A member of the researcher team will follow up to schedule an interview by phone or video conference for qualified candidates.

Effective on August 20, 2021, MERL will require proof of vaccination for any student who is hired and required to work onsite at MERL, during their internship. Please be sure to check for any specific requirements for onsite work in the job description.


  • MD1697: Integrated design of mechatronic systems

    • MERL is seeking a highly motivated and qualified individual to conduct research in model-based mechatronic system design. The ideal candidate should have solid backgrounds in motor and drives, multi-body dynamics, design optimization, and coding skills. Demonstrated experience on hand-on mechatronic system integration, and simulation/optimization software such as Matlab is a necessity. Ph.D. students in mechanical engineering, robotics, and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Multi-Physical Modeling, Optimization, Robotics
    • Host: Yebin Wang
    • Apply Now
  • MD1694: Path Planning for Articulated Vehicles

    • MERL is seeking a highly skilled and self-motivated intern to work on path/motion planning of articulated vehicles.

      The ideal candidate should have solid backgrounds in path/motion planning, nonlinear geometric control theory, and machine learning. Excellent coding skill and strong publication records are necessary. Senior Ph.D. students in control, electrical engineering, robotics, or related areas are encouraged to apply. Start date for this internship is flexible, and the expected duration is about 3 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Control, Machine Learning, Robotics
    • Host: Yebin Wang
    • Apply Now
  • DA1687: Unconventional robotic manipulation

    • We are seeking a student interested in robotics, specifically in the areas of tactile sensing, impulse-based (non-prehensile) object manipulation, or other unconventional robotic manipulation, probably with vision assist. The ideal result is a working demo leading to an accepted paper. Applicants should be rising college seniors or graduate students in STEM; prior mechatronics, CAD/CAM, machine vision / machine learning, Python, and open-source development experience is very desirable. The position is immediately available with an expected duration of 3-4 months. This internship requires work that can only be done at MERL.

    • Research Areas: Computer Vision, Machine Learning, Robotics
    • Host: Bill Yerazunis
    • Apply Now