Internship Openings

13 / 61 Intern positions were found.

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).

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.


  • ME1202: Programming of Embedded Control Systems

    • MERL is seeking an intern to assist with the development of a rapid prototyping environment for embedded control systems. The intern will be responsible for developing a hardware-in-the-loop simulation interfacing dynamic models, control algorithms and embedded hardware. The ideal candidate has a strong background in computer science and experience with MATLAB auto-coding tools, software interfacing, and computer architecture. Familiarity with the Functional Mockup Interface, the Modelica modeling language and associated tools is a strong plus.

    • Research Area: Mechatronics
    • Host: Dan Burns
    • 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, with a start date in the Spring, Summer or Fall of 2018.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • Apply Now
  • ME1141: Design and experiments of planning algorithms for robotic vehicles

    • MERL's Mechatronics group is seeking a motivated and qualified individual to develop path planning and predictive control for autonomous vehicles. The position is open to PhD students, holders of MSc, and experienced Master students. The candidate is expected to design, implement and test the algorithms in a multi-vehicle testbench with car-like robots. The candidate should have solid background in ROS, C++, and numerical algorithms. Previous experience of experimental work with robot testbenches (UGV, UAV, UUV) is highly desired. Background on model predictive control, sampling-based planning methods, set-based methods, and particle filtering is a plus. The internship start date is flexible, from mid April 2018 onwards, and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.

    • Research Area: Mechatronics
    • Host: Stefano Di Cairano
    • Apply Now
  • ME1181: Dynamics and Control of Electric Vehicles

    • MERL is seeking a motivated and qualified individual to conduct research on dynamics and control of electric vehicles. The ideal candidate should have a solid background in vehicle dynamics and control, model predictive control, and/or optimization. PhD students in mechanical or electrical engineering with focus on automotive systems are encouraged to apply. The intern will collaborate with MERL researchers in developing nonlinear MPC algorithms for electric vehicles. Start date for this internship is flexible and the expected duration is approximately 3-6 months.

    • Research Area: Mechatronics
    • Host: Claus Danielson
    • Apply Now
  • ME1164: Vehicle control with human factors

    • MERL is seeking a highly motivated individual for collaboration and experimentation on control for automotive vehicles. The successful candidate will be an advanced graduate student with extensive knowledge of control theory and practice, or machine learning. He or she will preferably have experience in the following areas: vehicle dynamics and control or human factors in control. The duration of the internship will be at least 3 months, with a start date in the Spring, Summer or Fall of 2018.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • 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 Area: Mechatronics
    • Host: Rien Quirynen
    • Apply Now
  • ME1201: Process Control of Vapor Compression Systems

    • MERL is seeking an intern to develop and experimentally validate control algorithms and optimization strategies for vapor compression systems. The ideal candidate has a solid background in process control, system dynamics and thermodynamics, and experience in implementation, validation and verification of control algorithms. Applicants currently enrolled in graduate programs in chemical, mechanical or electrical engineering (or similar) at leading research universities are encouraged to apply. Proficiency in MATLAB and/or LabVIEW is required. The intern will collaborate with MERL researchers in developing algorithms, conducting experiments, and preparing manuscripts for scientific publications.

    • Research Area: Mechatronics
    • Host: Dan Burns
    • Apply Now
  • ME1182: Model Predictive Control for HVAC Systems

    • MERL is seeking a motivated and qualified individual to conduct research on predictive control for heating, ventilation, and air conditioning systems. The ideal candidate should have a solid background in dynamics, control, and/or thermodynamics. PhD students in mechanical, chemical, or electrical engineering with focus on dynamics, control, and/or HVAC are encouraged to apply. The intern will collaborate with MERL researchers in developing models and control algorithms for HVAC systems. Start date for this internship is flexible and the expected duration is approximately 3-6 months.

    • Research Area: Mechatronics
    • Host: Claus Danielson
    • 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. Start date for this internship is around May 2018 but flexible, and the duration is about 3 months.

    • Research Area: Mechatronics
    • Host: Yebin Wang
    • Apply Now
  • ME1128: Mixed-Integer Optimal Control Algorithms

    • MERL is looking for highly motivated individuals to work on efficient numerical algorithms and applications of mixed-integer optimal control methods. The research will involve some among the following: the study and development of mixed-integer optimization techniques for optimal control, the implementation and validation of algorithms for relevant control applications. The ideal candidate should have experience in Newton-type optimization algorithms, techniques for mixed-integer optimization and/or model predictive control. PhD students in engineering or mathematics with a focus on nonconvex, mixed-integer optimization or numerical optimal control 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 3-6 months and the start date is flexible.

    • Research Area: Mechatronics
    • Host: Rien Quirynen
    • Apply Now
  • ME1184: Atmospheric fluid dynamics modeling and LiDAR applications

    • The Mechatronics Group at MERL is seeking a highly motivated, qualified individual to join our internship program. The ideal candidate will be a senior Ph.D. student specializing in atmospheric fluid dynamics, with experience in LiDAR based flow monitoring, turbulence modeling, and computational fluid dynamics (CFD). Research experience in model reduction and machine learning methods is very desirable. Familiarity with programming languages for like MATLAB and C++ is expected. Publication of results obtained during the internship is expected. The starting date is flexible between April-June 2018, and the internship will last 3-4 months.

    • Research Area: Mechatronics
    • Host: Piyush Grover
    • Apply Now
  • 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, from mid April 2018 onwards, and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.

    • Research Area: Mechatronics
    • Host: Stefano Di Cairano
    • 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, from mid April 2018 onwards, and the duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.

    • Research Area: Mechatronics
    • Host: Stefano Di Cairano
    • Apply Now