Internship Openings

6 / 58 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

MERL believes that having an internship be located in MERL's office allows for particularly good interaction between you and those that you will be working with at MERL. In addition, some intern projects, e.g., ones that require specialized laboratory equipment, can only be pursued in our office. We expect that all internships during 2022 will be in-person at MERL.

It is of course possible that COVID will take a significant turn for the worse in 2022. If that happens, we will reevaluate our plans and some internships might have to become remote.

It is a requirement at MERL that everyone working in MERL's space must be fully vaccinated. In order for you to have your internship at MERL, you will have to prove that you are fully vaccinated when you arrive at MERL, ie by showing your vaccination card.


  • MD1693: Aircraft electric propulsion system design

    • MERL is seeking a motivated and qualified individual to conduct research in modeling, simulation and analysis of aircraft electric propulsion system. The ideal candidate should have solid backgrounds in multi-physics modeling and simulation of aircraft electrical propulsion system. Demonstrated experience in modeling and simulation software/language such as Modelica or Simscape is a necessity. Knowledge and experience of NPSS, aircraft dynamics, and aerodynamics is a definite plus. Senior Ph.D. students in aerospace and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.

    • Research Areas: Dynamical Systems, Electric Systems, Multi-Physical Modeling
    • Host: Yebin Wang
    • Apply Now
  • MD1745: Electric machine operation analysis

    • 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. This internship requires work that can only be done at MERL.

    • Research Areas: Data Analytics, Electric Systems, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • MD1746: PWM inverter circuit design

    • MERL is looking for a self-motivated intern to work on PWM inverter drive circuit design and fabrication. The ideal candidate would be a Ph.D. candidate in electrical engineering with solid research background in power electronics. Experience in PWM inverter design, switching loss estimation, and EMI is desired. The intern is expected to collaborate with MERL researchers to design, simulate, and fabricate circuits, carry out experiments, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is 3 months. This internship requires work that can only be done at MERL. This internship requires work that can only be done at MERL.

    • Research Areas: Control, Electric Systems, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • MD1714: Electric Motor Design

    • MERL is seeing a motivated and qualified individual to conduct research on electric machine design, prototype, and experiment tests. The ideal candidate should have solid background and demonstrated research experience in electric machine theory, design analysis, motor drives, and control. Hands-on experiences on electric motor design and prototyping, test bench set up, and experiment measurements are required. Senior Ph.D. students in electrical engineering or mechanical engineering with related expertise are encouraged to apply. Start date for this internship is flexible. This internship requires work that can only be done at MERL.

    • Research Areas: Applied Physics, Electric Systems, Multi-Physical Modeling
    • Host: Bingnan Wang
    • Apply Now
  • SP1752: Machine Learning for Electric Design Automation

    • MERL is seeking a highly motivated and qualified intern to join the Signal Processing group for an internship program. The ideal candidate will be expected to carry out research on machine learning for automated design synthesis to improve hardware efficiency of various digital signal processing algorithms. The candidate is expected to have solid knowledge of deep learning, reinforcement learning, symbolic learning, decision making, and graph neural networks. Hands-on experience of high-level synthesis, FPGA prototyping, verilog, and general digital signal processing is a plus.

    • Research Areas: Artificial Intelligence, Electric Systems, Machine Learning, Signal Processing
    • Host: Toshi Koike-Akino
    • Apply Now
  • DA1751: Power Grid Fault Event Detection

    • MERL is seeking a highly motivated and qualified individual to join our summer internship program and conduct research in the area of power grid fault event detection. The ideal candidate should have a solid knowledge of power grid, inverter control and protection, outage analysis, signal processing, and machine learning. Experience with MATLAB or C/C++/Python is required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Data Analytics, Electric Systems, Machine Learning, Signal Processing
    • Host: Hongbo Sun
    • Apply Now