Internship Openings

6 / 17 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, Sudan and Syria (Country Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).


  • ME1139: Control planning and decision making for autonomous vehicles

    • MERL's Mechatronics group is seeking a highly motivated intern for performing research in control, planning and decision making in autonomous vehicles. The ideal candidate is working towards a Ph.D. in mechanical, aerospace, or electrical engineering, or in computer science, and has background in vehicle modeling and control, and decision making by optimization, statistics, or set-based methods. The candidate is expected to possess strong abilities in algorithm development, analysis, and Matlab implementation. The internship start date is flexible and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.

    • Research Areas: Mechatronics, Advanced Control Systems
    • Host: Stefano Di Cairano
    • Apply Now
  • ME1134: Traffic Control

    • MERL is seeking a highly motivated individual for collaboration on control of vehicle traffic. The successful candidate will be an advanced graduate student with extensive knowledge of traffic control, preferably with experience in the following areas: modeling and control of dynamical systems, or autonomous vehicle dynamics and control. The duration of the internship will be at least 3 months.

    • Research Areas: Mechatronics, Dynamical Systems, Advanced Control Systems
    • Host: Uros Kalabic
    • Apply Now
  • ME1164: Vehicle control with human factors

    • MERL is seeking a highly motivated individual for collaboration and experimentation on control for steering of automotive vehicles. The successful candidate will have experience in using CarSim or similar software and experience in vehicle dynamics and control and possibly human factors in control.

    • Research Areas: Mechatronics, Advanced Control Systems
    • Host: Uros Kalabic
    • Apply Now
  • ME1140: MPC-based modular control architectures

    • MERL's Mechatronics group is seeking a highly motivated intern for performing research in Optimization based modular control architectures. The ideal candidate is working towards a Ph.D. in electrical, mechanical, or aerospace engineering, or in computer science, and has background in model predictive control, optimization, set-based methods, and modular control architectures. The candidate is expected to possess strong abilities in theorem proving, and algorithm development, analysis, and Matlab implementation. The internship start date is flexible and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.

    • Research Areas: Mechatronics, Advanced Control Systems
    • Host: Stefano Di Cairano
    • Apply Now
  • ME1119: Provable Estimation for Complex Systems

    • MERL is seeking a motivated and qualified individual to conduct research in estimation theory for complex systems. The ideal candidate should have solid background in estimation theory addressing complexity including partially observable dynamics, hybrid, nonlinearity, and large scale. Senior PhD students in control, mathematics, and related areas are encouraged to apply. Duration is about 3 months.

    • Research Areas: Mechatronics, Advanced Control Systems
    • Host: Yebin Wang
    • Apply Now
  • ME1183: Optimization based Control and Estimation for Autonomous Vehicles

    • MERL is looking for highly motivated individuals to work on the development and implementation of optimization based control and estimation algorithms, including model predictive control (MPC) and/or moving horizon estimation (MHE), for autonomous vehicles. The research will involve some among the following: the study and development of nonlinear optimization techniques for real-time optimal control, the implementation of algorithms for predictive control or state and parameter estimation and the validation of techniques using embedded control hardware and/or experimental data. The ideal candidate should have experience in optimization algorithms, model predictive control and moving horizon estimation, nonlinear vehicle dynamics, ADAS and vehicle control or estimation. PhD students in engineering or mathematics with a focus on optimization algorithms, nonlinear MPC/MHE or vehicle control and estimation are encouraged to apply. Publication of relevant results in conference proceedings and journals is expected. Capability of implementing the designs and algorithms in Matlab is expected; coding parts of the algorithms in C/C++ is a plus. The expected duration of the internship is 3 months and the start date is flexible.

    • Research Areas: Mechatronics, Advanced Control Systems
    • Host: Rien Quirynen
    • Apply Now