Internship Openings

4 / 19 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.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered "at-will," and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.


  • EA0237: Internship - Condition Monitoring and Fault Diagnosis

    • MERL is seeking a motivated and qualified intern to conduct research on condition monitoring and fault diagnosis. The intern will contribute to the development of advanced monitoring and diagnostic technologies, with applications that may include electric motors and motor-driven systems. Ideal candidates should be Ph.D. students with a solid background and publication record in one or more of the following research areas: fault diagnosis, prognosis, and health management; electric machine modeling and data analysis; machine learning techniques including transfer learning and domain adaptation for fault diagnosis. Strong programming skills in Python and familiarity with frameworks such as PyTorch are required. Experience with modeling and analysis of electric machines is highly desirable. Senior Ph.D. students in related fields (e.g., Electrical Engineering, Mechanical Engineering, Applied Physics) are encouraged to apply. Start date for this internship is flexible and the duration is 3 months.

      The pay range for this internship position will be 6-8K per month.

    • Research Areas: Machine Learning, Signal Processing, Multi-Physical Modeling
    • Host: Bingnan Wang
    • Apply Now

  • MS0259: Internship - Multi-Fidelity Dynamic Models for Energy Systems

    • MERL seeks a motivated graduate student to develop multi-fidelity dynamic simulation methods for energy systems (e.g., vapor-compression/HVAC cycles and related multiphysics platforms). Candidates should have hands-on time-domain numerical simulation experience (ODE/DAE integration, implicit/iterative solvers, sparse linear algebra), familiarity with model reduction or surrogate modeling, solid thermofluids literacy (thermodynamics, heat transfer, fluid mechanics), and strong programming skills in Python/Julia/Matlab. System identification and/or numerical optimization for dynamical systems, and familiarity with equation-oriented tools (Modelica or Simscape), are desirable; a track record of rigorous research (papers or robust software) is preferred. Senior PhD students in applied mathematics, chemical/mechanical engineering, or related areas are encouraged to apply. The internship is 3 months, with a flexible start date.

      The pay range for this internship position will be 6-8K per month.

    • Research Areas: Multi-Physical Modeling, Dynamical Systems, Optimization, Data Analytics
    • Host: Hongtao Qiao
    • Apply Now

  • MS0254: Internship - Decentralized Data Assimilation for Large Scale Systems

    • MERL is seeking a highly motivated and qualified intern to conduct research on decentralized data assimilation for multi-physical and multi-component systems governed by large-scale nonlinear differential-algebraic equations (DAEs). The research will focus on the study, development, and efficient implementation of data assimilation algorithms for such complex systems. The ideal candidate will have a strong background in one or more of the following areas: nonlinear estimation and control, Bayesian methods, machine learning, graph theory, and optimization, with demonstrated expertise through peer-reviewed publications or equivalent experience. Proficiency in Julia or Python programming is required. Senior Ph.D. students in mechanical, electrical, chemical engineering, or related fields are encouraged to apply. The internship is typically 3 months in duration, with a flexible start date.

      The pay range for this internship position will be 6-8K per month.

    • Research Areas: Machine Learning, Multi-Physical Modeling, Dynamical Systems, Control, Optimization
    • Host: Vedang Deshpande
    • Apply Now

  • MS0315: Internship - Embedded Systems and Control

    • MERL is seeking a motivated intern to design and implement embedded controllers in C/C++ for a Linux-based experimental process control platform. The intern will develop firmware for STM32 and Arduino microcontrollers, integrate motor drivers and related sensors and actuators, and connect embedded components to the APIs and communication interfaces of existing tools. The work combines hands-on embedded development with system integration and experimental validation. Applicants should have a strong background and demonstrable experience in designing and implementing embedded systems using robust and maintanable software practices. Applicants should be MS or PhD students, and the expected duration of the internship is 3-6 months with a flexible start date.

      Required Specific Experience

      • Strong C/C++ programming skills and hands-on experience developing firmware for microcontrollers, preferably STM32 and/or Arduino-compatible devices.

      • Experience with embedded peripherals and protocols such as PWM, ADC, timers, interrupts, UART, SPI, I²C, and/or CAN.

      • Demonstrated attention to software engineering practices, including readability, maintainability, testing, and documentation.

      The pay range for this internship position will be 6-8K per month.

    • Research Areas: Control, Multi-Physical Modeling
    • Host: Chris Laughman
    • Apply Now