Internship Openings

30 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.


  • MM1075: Privacy-Preserving Data Analytics

    • MERL is seeking a highly motivated and qualified intern to work on privacy-preserving technologies. The intern will collaborate with MERL researchers on developing novel approaches to privacy-preserving data analytics. The ideal candidate would have research experience in data privacy, machine learning, and information theory. A mature understanding of statistical inference and stochastic processes, proficiency with Python, and familiarity with machine learning libraries are expected. Proficiency with other programming languages and software development experience is a plus. Candidates at or beyond the middle of their Ph.D. program are encouraged to apply.

    • Research Area: Multimedia
    • Host: Ye Wang
    • 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
  • MM1017: Multimodal Active Sensing

    • MERL is looking for a highly-motivated intern to work at the intersection of optical depth sensing and radar. The successful candidate will have expertise in computer vision, optical depth sensing and 3D tracking, and/or radar array signal processing. Familiarity with other active sensing methods and modern signal processing techniques, such as compressive sensing and sparse optimization, are a plus. The expected duration of the internship is 3 months with a possibility of extension, and the start date is flexible. Extra consideration will be given to candidates that are immediately available.

    • Research Area: Multimedia
    • Host: Petros Boufounos
    • Apply Now
  • MM1085: Self-Calibration and Autofocus

    • MERL is seeking a motivated and qualified individual to conduct research on blind self-calibration and autofocus techniques. The ideal candidate should be a Ph.D. student and have a solid background and publication record in blind-deconvolution, phase retrieval, bi-convex optimization, sparse signal recovery, and/or radar imaging. Publication of the results produced during the internship is expected. The duration of the internship is anticipated to be 3 months.

    • Research Area: Multimedia
    • Host: Hassan Mansour
    • Apply Now
  • DA1076: High-Dimensional Reinforcement Learning

    • MERL is looking for a highly motivated intern to work on developing reinforcement learning algorithms to solve problems with high-dimensional state and action spaces. 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 and machine learning/statistics. The candidate should be comfortable implementing the developed algorithms in Python. 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 starting date is flexible and can be as early as April 2017.

    • Research Area: Data Analytics
    • Host: Amir-massoud Farahmand
    • Apply Now
  • CV1039: Vision-Based Road Condition Estimation

    • MERL is seeking a highly motivated intern to conduct original research in the area of vision-based road condition estimation. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in convolutional neural networks (e.g., for semantic segmentation), camera geometry, and machine learning. Strong programming skills (C/C++, Matlab, etc.) are expected.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • 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
  • CV1084: Visual Question Answering VQA

    • MERL is seeking a highly motivated intern to conduct original research in the area of Visual Question Answering (VQA). The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in object detection/recognition, nature language processing (NLP), and machine learning (especially deep learning). Strong programming skills (C/C++, Matlab, deep learning tool such as Caffe etc.) are required.

    • Research Area: Computer Vision
    • Host: Ziming Zhang
    • 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
  • ME1063: Applications of Predictive Control to Mechatronic Systems

    • MERL is seeking a highly motivated individual for collaboration on predictive control theory and its applications. The ideal candidate is expected to have a fundamental understanding of graduate-level control theory with experience in some of the following areas: model predictive control, reference governors, modeling of physical systems and automotive vehicle control. Proficiency in Matlab is expected, and knowledge of C/C++ is a plus. The publication of results in relevant journal and conference proceedings is expected. The duration of the internship will be at least 3 months. Ph.D. candidates in the field of engineering are encouraged to apply.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • Apply Now
  • ME1060: Networked System Analysis and Design

    • MERL is seeking a motivated and qualified individual to conduct research in analysis, design, and control of large scale networked systems. The ideal candidate should have solid backgrounds in communication channel and network modeling, analysis and design theory for large scale systems, and demonstrated capability to publish results in leading control journals. Experience with manufacturing process is a plus. Start date for this internship is flexible and the duration is about 3 months.

    • Research Area: Mechatronics
    • Host: Yebin Wang
    • Apply Now
  • ME1069: Path Planning using Invariant Sets

    • The Mechatronics Group at MERL is seeking a qualified and motivated individual for research in path planning algorithms. The ideal candidate has a solid background in control theory, robotics and mathematical analysis, and path-planning algorithms for autonomous systems. Proficiency in MATLAB is necessary. The intern will collaborate with MERL researchers in developing and evaluating algorithms, and preparing results for publication. Ph.D. students in controls, robotics, mechanical engineering, or related areas are encouraged to apply. Start date for this internship is flexible. Expected duration is 3 months.

    • Research Area: Mechatronics
    • Host: Claus Danielson
    • Apply Now
  • ME1029: Experimental Validations of Geometric Control

    • MERL is seeking a highly motivated individual for collaboration on geometric control theory and its applications to vehicle systems. The ideal candidate is expected to have a fundamental understanding of graduate-level control theory with experience in some of the following areas: optimal control, control of nonholonomic systems, numerical optimization, modeling of physical systems, control of automotive or space vehicles. Proficiency in Matlab is expected, and knowledge of C/C++ is a plus. Experience with ROS and Vicon is a plus. The publication of results in relevant journal and conference proceedings is expected. The duration of the internship will be at least 3 months. Ph.D. candidates in the field of engineering are encouraged to apply.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • Apply Now
  • ME1005: Deep Learning for Autonomy

    • MERL is seeking a qualified and motivated individual for researching new exciting applications of artificial intelligence and deep learning. The ideal candidate is a senior PhD student with a background in artificial intelligence/deep learning, preferably with experience within automotive and/or robotics. Ph.D. students in computer vision, machine learning, and/or in the intersection of controls and machine learning are encouraged to apply. Proficiency in Matlab and C++ are expected. The expected duration of the internship is 3-6 months and the start date is flexible.

    • Research Area: Mechatronics
    • Host: Karl Berntorp
    • Apply Now
  • 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
  • ME1004: Autonomous Vehicle Control

    • MERL is looking for a highly motivated individual to work with MERL researchers on vehicle control, driven by the latest advancements in autonomous vehicles. The ideal candidate has a background in controls with applications to automotive. Knowledge and experience of any of the following techniques is considered a merit: model predictive control, sampling/graph-based motion planning, Bayesian inference. Proficiency in Matlab is expected, and knowledge of C/C++ is a plus. The duration of the internship is 3-6 months. Start date is flexible.

    • Research Area: Mechatronics
    • Host: Karl Berntorp
    • Apply Now
  • ME1083: Makerspace Lead Technician

    • Part-time (10 ~ 20 hours/week) Mechatronics Makerspace Lead Technician: Working knowledge of (i) mechanical engineering and of at least one CAD/CAM tool chain, and ability to design a moderately complex mechanical device; (ii) electrical engineering at least one schematic capture / PCB layout tool, and sufficient electronics knowledge to be able to design, implement, assemble, and debug a moderately complex printed circuit. Some ladder work, bending, and lifting less than 50 lbs involved"

    • Research Area: Mechatronics
    • Host: Jay Thornton
    • Apply Now
  • ME1023: Embedded optimization algorithms for realtime control

    • MERL is looking for highly motivated individuals to implement real time optimization algorithms on embedded platforms. The ideal candidate is a MS or Ph.D. student in electrical and computer engineering or computer science with experience developing applications for embedded and real time platforms. Proficiency in C/C++, Matlab, and embedded systems is required. Experience with real time systems is preferred and familiarity with model predictive control or convex optimization algorithms is a plus. The duration of the internship is 3-6 months. Start date is flexible between January and July 2017.

    • Research Area: Mechatronics
    • Host: Dan Burns
    • Apply Now
  • EC1001: Millimeter-Wave Communications

    • MERL is looking for a highly motivated senior PhD student to work on our mmWave communications project. The ideal candidate is expected to collaborate with MERL researchers to develop novel signal processing algorithms for mmWave communications, test their performance, and write paper and patent application. A solid background in communications, sparse signal recovery and mmWave channel modeling is required. Strong programming skills in Matlab are essential. The expected duration of the internship is 3 months with flexible start date.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
    • Apply Now
  • EC1000: Distributed Autonomy

    • MERL is looking for a highly motivated senior PhD student to work on our distributed autonomy project. The ideal candidate will collaborate with MERL researchers to develop and implement algorithms for multi-robot distributed autonomy tasks, conduct experiments and write paper and patent application. A strong hands-on experience on developing and programming robot platforms is required. Background in SLAM techniques and different sensing modalities is desirable. The expected duration of the internship is 3 months with flexible start date.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
    • Apply Now
  • EC1080: Digital Beamforming DBF

    • The Electronics and Communications (EC) group at MERL is seeking a highly motivated intern to conduct research work on digital beamforming (DBF) for phased array antenna. The ideal candidate is expected to have solid background in architectures of beamforming, communication theory, and advanced signal processing. Proficiency in simulation tools such as Matlab and Simulink (including toolboxes) is required. Research experience in the field of phased array antennas and radio architectures is an asset. The expected duration of the internship is 3 months with flexible start date. Senior Ph.D. students with related background are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Bingnan Wang
    • Apply Now
  • EC1047: Coherent Optical Imaging

    • MERL is seeking an intern to work on coherent optical imaging. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent imaging. The candidate should have a detailed knowledge of optical interferometry and imaging with a focus on either optical coherence tomography or optical coherence microscopy. Strong programming skills in Matlab are essential. Experience of working in an optical lab environment would be advantageous. Duration is 3 to 6 months.

    • Research Area: Electronics & Communications
    • Host: David Millar
    • Apply Now
  • EC1081: GPU development of error correction coding and DSP algorithms

    • The Electronics and Communications group at MERL is seeking a highly motivated, qualified individual to join our internship program of research on error correction coding (ECC) and DSP algorithms for digital communications. The successful candidate will collaborate with MERL researchers to develop, analyze, and implement ECC and DSP algorithms on highly parallel and reconfigurable hardware, such as a GPU. The ideal candidate is expected to have a strong background in GPU programming (CUDA, OpenCL, etc) and C/C++ (OpenACC knowledge is useful). Knowledge of MATLAB and ECC/DSP theory and algorithms are a plus. Candidates in a PhD program are encouraged to apply. The duration is approximately 3 months, with a flexible start date.

    • Research Area: Electronics & Communications
    • Host: Kieran Parsons
    • Apply Now
  • EC1068: Millimeter-wave and Terahertz Sensing

    • The Electronics and Communications (EC) group at MERL is seeking a highly motivated intern to conduct research work on Millimeter-wave (mmWave) and Terahertz (THz) sensing. The ideal candidate is expected to have extensive experience in signal acquisition, active sensing, and signal processing. Familiarity with sparse signal recovery and optimization is a plus. Hands-on experience with mmWave imaging and Terahertz sensing (e.g., spectroscopy) systems is an asset. The intern will collaborate with MERL researchers to develop novel sensing algorithms, conduct experiments, and prepare results for publication. The expected duration of the internship is 3 months with flexible start date.

    • Research Area: Electronics & Communications
    • Host: Perry Wang
    • Apply Now
  • EC1055: Computational Intelligence in RF Circuit Design

    • MERL is looking for an Senior Ph.D. student to work on developing a generalized and efficient framework for computationally expensive electronic design optimization problems.The candidate should have solid background in machine learning and optimization. Knowledge in electronics circuit (Radio frequency) design and measurements are preferred. Hands-on experience in hardware prototypes and lab testing are ideal. The internship is 3 months with starting date in April 2017.

    • Research Area: Electronics & Communications
    • Host: Rui Ma
    • Apply Now
  • EC1072: High Power High Frequency Semiconductor Devices

    • MERL is seeking a highly motivated, qualified individual to join our 3 month internship program to carry research in the area of high power semiconductor devices and 3D devices. The ideal candidate should have a significant background in the theory, simulation and modeling of high speed high power semiconductor and 3D devices using TCAD. Proficiency in Solid State Physics and Physics of Semiconductor theory and particularly in thermal research would be a great asset. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply. The position is open from April 2017 for a duration of 3 months

    • Research Area: Electronics & Communications
    • Host: Koon Hoo Teo
    • 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
  • 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
  • AL1030: Computational optics and optimization

    • We are looking for a talented individual to collaborate in developing and applying new methods for designing optical surfaces to control wavefronts. Responsibilities will include mathematical modeling, algorithm design, software prototyping, and possibly physical prototyping. Application areas span optics, acoustics, communications, and graphics. Candidates should be strong scientific programmers and have some background in algebra, numerical optimization. Knowledge of the relevant physics is a plus but not necessary.

    • Research Area: Algorithms
    • Host: Matt Brand
    • 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