Internship Openings

15 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.


  • 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
  • DA1092: Intern in Robotics and Grippers

    • The Data Analytics group is seeking an intern to work on the problems of multi-degree-of-freedom robot grippers for poorly defined or dynamically changing tasks. This task extends from the mathematics of gripping, to actual fabrication and testing of new robot gripper designs in an RL (reinforcement learning) robot control environment. Gripper technology is intentionally not limited to commercially available hardware; designs particularly advantageous to RL control are especially welcomed.

    • Research Area: Data Analytics
    • Host: Bill Yerazunis
    • Apply Now
  • DA1104: Robot Learning

    • MERL is looking for a highly motivated intern to work on developing algorithms for robot learning. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publication. The candidate should have a strong background in reinforcement learning, machine learning and robotics. Prior experience of working with robotic systems is required. The candidate should be comfortable implementing the developed algorithms in Python and should have prior experience working with ROS. Prior exposure to deep learning and hands-on experience with packages such as Keras, TensorFlow, or Theano is a plus. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, Operations Research, Statistics, Applied Mathematics, or a related field, with relevant publication record. [The duration of the internship is 12 weeks.] The position is available as early as September 2017. Interested candidates are encouraged to apply with their recent CV with list of related publications and links to Github repositories (if any).

    • Research Area: Data Analytics
    • Host: Devesh Jha
    • Apply Now
  • DA1103: Anomaly Detection in Time Series

    • MERL is looking for a highly motivated intern to work on developing anomaly detection algorithms for time series analysis. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publication. The ideal candidate is expected to have a strong background in time series analytics with experience in algorithms for time-series representation, subsequence matching, pattern matching and time-series clustering. The candidate is expected to have strong programming skills in C++ and Python. Candidates who hold a PhD or in their senior years of a Ph.D. program in Electrical Engineering, Computer Science, Statistics or a related field are encouraged to apply. Interested candidates are encouraged to apply with their full CV with list of related publications and links to github code repositories (if any). [The duration of the internship is 12 weeks.] The position is available starting September 2017.

    • Research Area: Data Analytics
    • Host: Devesh Jha
    • Apply Now
  • BI1050: Nonlinear Robot Control

    • MERL seeks an intern to conduct research and development of nonlinear control algorithms for mechatronic systems described by differential algebraic equations (DAEs). The research would address problems in the design of nonlinear feedback for robotic systems engaged in assembly applications. The applicant should be enrolled in a graduate program of research at a leading research university, with a strong education in linear and nonlinear control system design and robot dynamics and control, and should have research interests in nonlinear control system design and implementation. Experience with Modelica modeling langauge is an advantage. Starting and ending dates are negotiable.

    • Research Area: Business Innovation
    • Host: Scott Bortoff
    • Apply Now
  • MM1012: 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 representation and compression, lossy or lossless image/video compression, familiarity with point cloud data related to mobile mapping and laser scanning, as well as experience with existing compression standards such as HEVC or H.264/AVC. Candidates at or beyond the middle of a Ph.D. program are encouraged to apply.

    • Research Area: Multimedia
    • Host: Bob Cohen
    • Apply Now
  • MM1109: Compression for remote sensing

    • MERL is seeking an intern to research and develop methods for compression of remotely sensed data and images. The ideal candidate would have a solid background related to image or signal compression, signal processing, and/or information theory. The applicant should also have experience with programming in at least one of C/C++, MATLAB, or Python. Experience with remote sensing data processing, such as SAR image formation, is a plus, as is familiarity with distributed coding, compressive sensing, entropy coding, and quantization.

    • Research Area: Multimedia
    • Position ID: MM1109
    • Contact: Bob Cohen
    • Email: cohen[at]merl[dot]com
    • To be considered please send CV and Position ID to the contact email.
  • MM1091: Next generation LIDAR

    • MERL is looking for a highly motivated intern to work on developing prototype hardware for next generation LIDAR systems. The successful candidate will be responsible for designing and debugging prototype hardware for interfacing with image sensors. Required skills include analog and digital circuit design, soldering, PCB layout, embedded software development and debugging. Familiarity with digital imaging and image sensors, as well as experience with VHDL and FPGAs is preferred. Candidates working towards MS and PhD degrees in electrical engineering are encouraged to apply. The duration of internship is expected to be three months.

    • Research Area: Multimedia
    • Host: Petros Boufounos
    • 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
  • EC999: radiative heat transfer

    • MERL is looking for a qualified intern to conduct research in radiative heat transfer. A solid background in theoretical understanding of heat transfer, solid state physics, and electromagnetic fields is expected. Research experiences related to thermal radiation and energy conversion are required. Expertise in numerical modeling and simulation of electromagnetic fields and heat transfer, experimental experiences of heat transfer are highly desirable. The internship duration is 3-6 months with a flexible start date between 4/1/2017 and 7/31/2017. Senior Ph.D. students in physics or electrical/mechanical engineering with related research background are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Bingnan Wang
    • Apply Now
  • CV1036: Real-Time Face Alignment

    • MERL is seeking a highly motivated intern to conduct original research in the area of face alignment (determining the locations of multiple facial landmarks) from images and video. The successful candidate will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. This project will also focus on tailoring algorithms to a real-world product. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment, tracking, 3D head pose estimation, and machine learning. Strong C/C++ programming and Matlab experience are expected. Duration: 3-6 months. Starting date can be as early as January 2017.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • ME1101: 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. When applying, please provide your availability; the internship is expected to commence no later than January 2018.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • Apply Now
  • ME1108: MPC for heating ventilation and air conditioning HVAC

    • MERL is seeking a motivated and qualified individual to conduct research on model predictive control for HVAC systems. The ideal candidate should have a solid background in model predictive control, constrained control, and/or optimization. PhD students in engineering, operation research, or mathematics with focus on control are encouraged to apply. The intern will collaborate with MERL researchers in developing algorithms for controlling systems subject to state and input constraints. Start date for this internship is fall 2017 and the expected duration is approximately 3-6 months.

    • Research Area: Mechatronics
    • Position ID: ME1108
    • Contact: Claus Danielson
    • Email: danielson[at]merl[dot]com
    • To be considered please send CV and Position ID to the contact email.
  • ME1022: Advanced MPC technologies

    • MERL is looking for highly motivated individuals to work on developing and implementing high speed optimization algorithms for model predictive control applications. Successful candidates will collaborate with MERL researchers to develop, analyze, and implement optimization algorithms on highly parallel and reconfigurable embedded target hardware. The ideal candidate is a MS or Ph.D. student with experience in model predictive control, optimization algorithms, and GPU and FPGA programming. Proficiency in C/C++ programming, specifically using CUDA and openCL, is required. Experience using openCL to program FPGAs is preferred. Experience with algorithm development in Matlab is preferred. Experience with real time systems is a plus. Publication of relevant results in conference proceedings and journals is expected. The duration of the internship is 3-6 months. Start date is flexible between January and July 2017.

    • Research Area: Mechatronics
    • Host: Bram Goldsmith
    • Apply Now
  • ME1102: Makerspace Lead Technician

    • Part-time (~20 hours/week) Mechatronics Makerspace Lead Technician: ability to use CAD/CAM tools to design and fabricate mechatronic devices (both mechanicals and PCB circuitry) on a variety of CNC machines in our facility, train and assist research staff who need to do the same, and keep our hardware lab stocked and organized.

    • Research Area: Mechatronics
    • Host: Jay Thornton
    • Apply Now