Internship Openings

6 / 18 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.


  • MS0260: Internship - Experimental Thermofluid Systems

    • MERL seeks a highly motivated intern for a summer internship focused on developing laboratory experiments for thermofluid systems based on vapor-compression cycles. The ideal candidate will have extensive hands-on experience building pumped fluid systems, working with high-pressure equipment, and specifying and integrating sensors such as thermocouples and pressure transducers with data acquisition systems. The intern will collaborate closely with MERL researchers to design, assemble, and validate experimental platforms, and this work is expected to lead to a submission to a top-tier conference. Start date and duration are flexible.

      Required Specific Experience

      • Current enrollment in a PhD program in Mechanical, Electrical, Chemical Engineering or related programs (exceptional M.S. candidates considered)

      • Extensive hands-on experience in designing and connecting sensors to data acquisition systems, designing instrumentation interfaces, and implementing reliable data-collection workflows is required.
      • Proficiency in Linux and C/C++ for data logging and visualization tools is essential; Python experience is a plus.

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

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

  • MS0098: Internship - Control and Estimation for Large-Scale Thermofluid Systems

    • MERL is seeking a motivated graduate student to research methods for state and parameter estimation and optimization of large-scale systems for process applications. Representative applications include large vapor-compression cycles and other multiphysical systems for energy conversion that couple thermodynamic, fluid, and electrical domains. The ideal candidate would have a solid background in control and estimation, numerical methods, and optimization; strong programming skills and experience with Julia/Python/Matlab are also expected. Knowledge of the fundamental physics of thermofluid flows (e.g., thermodynamics, heat transfer, and fluid mechanics), nonlinear dynamics, or equation-oriented languages (Modelica, gPROMS) is a plus. The expected duration of this internship is 3 months.

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

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

  • CA0310: Internship - Perception and Coordination for Heterogeneous Robots

    • MERL is seeking a highly motivated intern to collaborate on the development and experimental validation of algorithms for heterogeneous mobile robot autonomy. The internship will involve hands-on work with multiple robotic platforms, including aerial robots and ground robots. The ideal candidate should be comfortable working close to hardware and should have substantial experience with ROS2-based robotic systems, Python development, sensor integration, debugging physical experiments, and deploying algorithms on real robots. The intern will contribute to one or more research directions involving perception-driven autonomy, multi-robot planning, and heterogeneous robot coordination. The results of the internship are expected to lead to publications in top-tier robotics, control, automation, and/or computer vision conferences and/or journals. The internship will take begin in November/December 2026 and continue for 4–6 months, with exact dates flexible. Please use your cover letter to explain how you meet the following requirements. Where possible, include links to papers, code repositories, hardware demonstrations, videos, project pages, or prior experimental work that demonstrate your experience.

      Required Specific Experience

      • Current enrollment in a Masters/PhD program in Mechanical, Electrical Engineering, Computer Science, or related programs, with a focus on Robotics and/or Control Systems.
      • Strong hands-on experience with robotic hardware and physical experiments.
      • Experience in one or more of the following topics: multi-agent planning and control, perception, computer vision, optimization and operation research (vehicle routing and scheduling).
      • Experience with one or more of ROS2-enabled mobile robots, preferably Starling drones, Crazyflie drones, TurtleBot / TurtleBot4 platforms, and/or Unitree Go2.
      • Strong programming skills in Python and/or C/C++.

      Desired Specific Experience

      • Experience with image-based 3D reconstruction, structure from motion, visual SLAM, visual odometry, multi-view geometry, or photogrammetry.
      • Experience with multi-robot coordination, heterogeneous robot teams, task allocation, dynamic team formation, coverage, monitoring, or task completion.
      • Experience with motion planning, trajectory optimization, model predictive control, convex optimization, or mixed-integer optimization.

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

    • Research Areas: Artificial Intelligence, Control, Computer Vision, Dynamical Systems, Machine Learning, Optimization, Robotics
    • Host: Abraham Vinod
    • Apply Now

  • CA0153: Internship - High-Fidelity Visualization and Simulation for Space Applications

    • MERL is seeking a highly motivated graduate student to develop high-fidelity full-stack GNC simulators for space applications. The ideal candidate has strong experience with rendering engines, synthetic image generation, and computer vision, as well as familiarity with spacecraft dynamics, motion planning, and state estimation. The developed software should allow for closed-loop execution with the synthetic imagery, and ideally allow for real-time visualization. Publication of results produced during the internship is desired. The expected duration of the internship is 3-6 months with a flexible start date.

      Required Specific Experience

      • Current enrollment in a graduate program in Aerospace, Computer Science, Robotics, Mechanical, Electrical Engineering, or a related field

      • Experience with one or more of Blender, Unreal, Unity, along with their APIs

      • Strong programming skills in one or more of Matlab, Python, and/or C/C++

      The pay range for this internship position will be6-8K per month.

    • Research Areas: Computer Vision, Control, Dynamical Systems, Optimization
    • Host: Avishai Weiss
    • Apply Now

  • CA0283: Internship - Active SLAM for Aerial Robots

    • MERL is seeking a self-motivated and highly qualified Ph.D. intern to contribute to the development of a safety-oriented active SLAM system for aerial robots. The work will involve the development of perception-aware safe planning algorithms, along with extensive validation in both simulation and on hardware, using drones equipped with onboard cameras.

      The intern will work closely with MERL researchers in robotics and autonomy. The internship is expected to lead to a publication in a top-tier robotics, computer vision, or control conference and/or journal. The position has a flexible start date (Summer/Fall 2026) and a duration of 3–6 months.

      Required Specific Experience

      • Current enrollment in a Ph.D. program in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, or a closely related field, with a focus on Robotics, Computer Vision, and/or Control Systems.
      • Hands-on experience with aerial robots, including real-world flight testing.
      • Expertise in one or more of the following areas: active SLAM; 3D computer vision; coverage path planning; multi-agent pathfinding; perception-aware planning.
      • Excellent programming skills in Python and/or C++, with prior experience using ROS2 and high-fidelity simulators such as Isaac Sim and/or MuJoCo.
      • A strong publication record or demonstrated research potential in leading computer vision or robotics venues, such as ICRA, IROS, RSS, RA-L, T-RO, CVPR, ECCV, ICCV, or NeurIPS.

      Preferred Experience

      • Strong software engineering skills, demonstrated through a publicly accessible codebase (e.g., GitHub or GitLab). Applicants are required to provide links to representative repositories.
      • Experience with onboard perception, visual-inertial systems, or safety-critical autonomy.
      • Familiarity with trajectory optimization, MPC, or optimization-based control for robots.

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

    • Research Areas: Computer Vision, Control, Dynamical Systems, Optimization, Robotics
    • Host: Kento Tomita
    • Apply Now