Internship Openings

22 Intern positions are currently open.

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.


  • CV1012: Point Cloud Compression

    • MERL is seeking an intern to work on new methods for coding and compressing 3D point clouds. The ideal candidate will have relevant expertise in computer graphics representations and compression, and in lossy or lossless image or video compression. Familiarity with processing point cloud data related to mobile mapping, laser scanning, or virtual reality would be a plus.

    • Research Area: Computer Vision
    • Host: Bob Cohen
    • Apply Now
  • CV1138: SLAM and 3D Reconstruction

    • MERL is looking for a highly motivated intern to work on SLAM and 3D reconstruction problems. The successful candidate will collaborate with MERL researchers to develop and implement new algorithms, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision or robotics with experience in SLAM and 3D geometric vision algorithms. Strong programming skills in C++ are expected. The expected duration is 3 to 6 months and the start date is flexible.

    • Research Area: Computer Vision
    • Host: Yuichi Taguchi
    • Apply Now
  • CV1217: Reinforcement Learning

    • MERL is seeking a highly skilled and motivated intern to work on path planning of robotic systems in complex environments. The ideal candidate should have solid backgrounds in path planning, reinforcement learning, and computer vision. Demonstrated capability in coding algorithms and publishing results in leading conference and journals is a necessity. Senior Ph.D. students in learning, control, computer science, or related areas are encouraged to apply. Start date for this internship is flexible, and the expected duration is about 3 months.

    • Research Area: Computer Vision
    • Host: Dong Tian
    • 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
  • 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
  • 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
  • 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 Area: Mechatronics
    • Host: Uros Kalabic
    • 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
  • 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
  • EC1147: Packet separation in IoT random access channel

    • We are looking for a qualified recent PhD graduate or PhD student to conduct research and develop novel algorithms for packet separation in IoT random access channel. The ideal candidate should have solid background in statistical signal processing and sparse recovery methods, as well as familiarity with wireless channel modeling and communications. Strong programming skills in MATLAB are required. Publication of the results produced during the internship is anticipated. The duration of the internship is expected to be 3-6 months, with flexible start date.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
    • Apply Now
  • EC1064: GPS GNSS Signal Processing

    • The Electronics and Communications Group at MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of GPS/GNSS signal processing. The ideal candidate should have solid background in GNSS signal measurement, data analysis, and receiver algorithms. In addition, knowledge of radio wave disturbance and experience in the areas of nonlinear estimation, optimization, interference analysis, and performance analysis of GNSS systems would be an asset. Experience with Raspberry Pi, Matlab, and C/C++ is required. Ph.D. students in engineering or related fields are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: K.J. Kim
    • Apply Now
  • EC1158: Coherent optical transmission systems

    • MERL is seeking an intern to work on systems and subsystems for coherent optical fiber transmission. The ideal candidate would be an experienced PhD student or post-graduate researcher working in optical communications. The candidate should have a detailed knowledge of optical communications systems at the physical layer and digital signal processing for digital coherent communication, with a focus on either optical fiber communication or free space optical communication. Strong programming skills in Matlab are essential. Experience of working in a lab environment would be advantageous. Duration is 3 to 6 months.

    • Research Area: Electronics & Communications
    • Host: David Millar
    • Apply Now
  • EC1150: Statistical Learning Theory and Applications

    • We are looking for a qualified recent PhD graduate or PhD student to conduct research in the area of statistical learning. The assigned work may include theoretical analysis, or development of novel algorithms for applications such as sensor fusion, physical-layer communications, networking, battery modeling. Strong programming skills in MATLAB/Python are required. The duration of the internship is expected to be 3-6 months, with flexible start date. Publication of the results produced during the internship is anticipated.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
    • Apply Now
  • EC1230: Free space optical communications systems

    • MERL is seeking an intern to work on systems and algorithms for free space optical communications. The ideal candidate would be an experienced PhD student or post-graduate researcher working in optical communications. The candidate should have a detailed knowledge of optical communications systems at the physical layer with a focus on either free space optical communication or optical fiber communication. Experience with simulation of optical comms systems and DSP is preferred. Strong programming skills in Matlab are essential. Experience of working in an optical experimental lab environment (either fiber or free-space) would be advantageous. Duration is 3 months.

    • Research Area: Electronics & Communications
    • Host: Kieran Parsons
    • Apply Now
  • EC1155: Coexistence of the Heterogeneous Wireless Technologies

    • MERL is seeking a highly motivated, qualified intern to join the Electronics and Communications group for a three month internship program. The ideal candidate will be expected to carry out research on coexistence of the heterogeneous wireless technologies in the Sub-1 GHz (S1G) band. The candidate is expected to develop innovative coexistence technology for IEEE 802.15.4g to mitigate interference caused by other S1G technologies such as IEEE 802.11ah, LoRa and SigFox. The candidates should have knowledge of 802.15.4g and 802.11ah protocols. Additionally, the candidate should also be familiar with NS3 simulators. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Jianlin Guo
    • Apply Now
  • EC1180: Advanced Phased Array Antenna

    • MERL is looking for a highly motivated, and qualified individual to join our internship program of advanced phased array research. The ideal candidate should be a senior Ph.D. student with rich experience in beam forming technologies. Knowledge of wireless communication, transceiver architecture, and digital signal processing, FPGA and/or Matlab programming skills are required. RF circuits knowledge will be a plus. Duration is 3-6 months.

    • Research Area: Electronics & Communications
    • Host: Rui Ma
    • Apply Now
  • MM1132: End-to-end acoustic analysis recognition and inference

    • MERL is looking for an intern to work on fundamental research in the area of end-to-end acoustic analysis, recognition, and inference using machine learning techniques such as deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in one or more of source separation, speech recognition, and natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months. Positions are available throughout 2018.

    • Research Area: Multimedia
    • Host: Takaaki Hori
    • Apply Now
  • AL1031: Distributed auctions for network welfare maximization

    • We are looking for a talented individual to collaborate and facilitate research on new algorithms in mechanism design and distributed auctions. Responsibilities will include mathematical modeling, algorithm design, software prototyping, and running Monte Carlo simulations in a network traffic domain. Candidates should be strong scientific programmers and have some background in numerical optimization, simulation design, and auction theory.

    • Research Area: Algorithms
    • Host: Matt Brand
    • Apply Now
  • BI1201: 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: Business Innovation
    • Host: Dan Burns
    • Apply Now
  • BI1202: 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: Business Innovation
    • Host: Dan Burns
    • Apply Now
  • BI1163: Multiphysics simulation and optimization

    • MERL is seeking a motivated graduate student to research numerical methods related to model-based simulation and optimization for process applications. Representative targets include the fast simulation of multiphase flows and the optimization of nonsmooth systems found in energy applications. The ideal candidate would have a solid background in numerical methods, partial differential equations, and optimization; strong programming skills and experience with Python/C++/Matlab are also expected. Knowledge of the fundamental physics of thermofluid flows (e.g., thermodynamics, heat transfer, and fluid mechanics), nonlinear dynamics and control methods, or Modelica or other equation-oriented languages (gPROMS, Aspen HYSYS, extensions to Julia such as JuMP.jl) is a plus. The expected duration of this internship is 3 months. Please contact Chris Laughman (laughman at merl.com) or go to www.merl.com/internship/ for more information.

    • Research Area: Business Innovation
    • Host: Chris Laughman
    • Apply Now
  • BI1189: nano-particle properties

    • MERL is searching for a graduate student to work on properties of nano-particles. Ideal candidates will have a strong background in physics modeling, particularly for hysteresis phenomena. Experience on Ab Initio computations (including density functional theory for material properties or finite-difference-time-domain for optical property) is a plus but not required. The intern is expected to explain experimental measurements. The expected duration is 3 months starting in summer 2018. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Please see our website http://www.merl.com for information relating to our research, and http://www.merl.com/publications/ to explore our publications.

    • Research Area: Business Innovation
    • Host: Chungwei Lin
    • Apply Now