Internship Openings

62 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.


  • DA1169: Quadratic Assignment Problems

    • The Data Analytics group at MERL is seeking a highly motivated intern to work on the development of novel optimization algorithms for quadratic assignment problems (QAPs). The target applications span a broad range of areas including markets, transportation and scheduling. Successful candidate will collaborate with MERL researchers to develop and implement new algorithms, conduct experiments, and prepare results for publication. Ideal candidate would be senior PhD students with experience in one or more of the following areas: mixed integer programming, constraint programming, semidefinite programming. Strong programming skills and fluency in C++/Matlab/Python are expected. Prior experience with popular optimization packages such as Ipopt, Gurobi, Cplex is a plus. The duration of the internship is expected to be 3 months. Start date is flexible.

    • Research Area: Data Analytics
    • Host: Arvind Raghunathan
    • Apply Now
  • DA1173: Time Series Pattern Matching and Discovery

    • The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2018. The ideal candidate is expected to have a strong background in time series analytics with experience in subsequence matching, feature representation, matching distance development. Preferred candidates will have a background either time series subsequence matching or in time series pattern discovery. The candidate is expected to have strong programming skills in an industrial programming language like C/C++, and a scripting language like Python or Matlab. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Data Analytics
    • Host: Emil Laftchiev
    • Apply Now
  • DA1167: Power Distribution System Fault Detection and Recovery

    • MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of fault detection and recovery of power distribution system. The ideal candidate should have solid background in power systems, distribution automation, and fault analysis. Strong programming skills in Matlab, or C/C++ are required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply.

    • Research Area: Data Analytics
    • Host: Hongbo Sun
    • 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
  • 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
  • DA1166: Power Market Trading Analysis and Optimization

    • MERL is seeking a highly motivated and qualified individual to join our internship program and conduct research in the area of power market trading analysis and optimization. The ideal candidate should have solid background in power market, mathematical optimization, and stochastic analysis. Good knowledge of anomaly detection and machine learning is a plus. Strong programming skills in Matlab, or C/C++ are required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply.

    • Research Area: Data Analytics
    • Host: Hongbo Sun
    • Apply Now
  • DA1172: Active Learning For Physiological Modeling

    • The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2018. The ideal candidate is expected to have a strong background in machine learning with experience and background in active learning. Preferred candidates will also have a background in transfer learning. The candidate is expected to have strong programming skills in Python with experience using pandas, scikit-learn and scipy. Exceptional candidates will also have some Android development experience. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Data Analytics
    • Host: Emil Laftchiev
    • 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
  • DA1165: Disaster-resilient Power Grid

    • MERL is seeking a highly motivated and qualified individual to join our internship program and conduct the research in the area of disaster-resilient power grid. The ideal candidate should have solid background in power systems, mathematical optimization, stochastic analysis, and good knowledge of power outage identification and service restoration. Experience with Matlab or C/C++ is required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply.

    • Research Area: Data Analytics
    • Host: Hongbo Sun
    • Apply Now
  • MM1149: Multi-Spectral Image Fusion

    • MERL is looking for an intern to work on multi-spectral image fusion. The ideal candidate would be a senior Ph.D. student with solid background in image registration, image enhancement, and computer vision. Experience in sparse modeling and deep learning is desirable. Proficiency in MATLAB programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The internship is expected to be 3 months and start date is flexible.

    • Research Area: Multimedia
    • Host: Dehong Liu
    • Apply Now
  • MM1124: Point Cloud Processing

    • MERL is seeking a senior graduate student for an internship in the area of graph signal processing. The research would be focused on the processing, classification and/or recognition of 3D point cloud data. The intern will work closely with MERL researchers to develop novel ideas and conduct experiments. Publication of research results is expected. The ideal candidate would have experience related to graph signal processing, deep learning, computer vision and/or 3D point cloud processing.

    • Research Area: Multimedia
    • Host: Dong Tian
    • 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 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: Multimedia
    • Host: Bob Cohen
    • Apply Now
  • MM1133: Robot navigation and control

    • MERL is seeking a motivated and qualified individual to conduct research in robot navigation and control, with a particular focus on aerial robots for indoor applications. The ideal candidate should have solid background in hardware and real-time control implementation of robots in a ROS environment. Familiarity with modeling and control of aerial robots is a plus. Duration of the internship is expected to be 3 months.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • 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
  • 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
  • MM1151: Scene-Aware Dialog Technology

    • MERL is looking for an intern to work on fundamental research in the area of scene-aware dialog technologies by combining end-to-end dialog and video scene understanding technologies. The intern will collaborate with MERL researchers to derive and implement new models, 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 visual question answering, video captioning/description, end-to-end conversation modeling 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: Chiori Hori
    • Apply Now
  • MM1146: Imaging Through Scattering Media

    • The Computational Sensing team at MERL is seeking a motivated and qualified individual to conduct research on computational imaging through scattering media under wave-based forward models. The ideal candidate should be a Ph.D. student and have a solid background and publication record in imaging inverse problems, large-scale optimization, blind inverse scattering, and/or radar imaging. Experience with experimentally measured data is desirable. Publication of the results produced during the internship is expected. The duration of the internship is anticipated to be 3-6 months. Start date is flexible.

    • Research Area: Multimedia
    • Host: Hassan Mansour
    • Apply Now
  • MM1125: Sensor placement for state estimation

    • MERL is seeking a motivated and qualified individual to conduct research on sensor placement and flow estimation. The ideal candidate should be a Ph.D. student with expertise in state observer design for distributed dynamical systems. Graduate level fluid dynamics and dynamical systems coursework is required. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 months. Start date is flexible.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • Apply Now
  • MM1123: Source separation

    • We are seeking graduate students interested in helping advance the field of source separation, speech enhancement in extreme environments, and audio reconstruction (inpainting, bandwidth extension, synthesis), using the latest developments in deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in audio signal processing, speech modeling, probabilistic modeling and deep learning. The duration of the internship is expected to be 3-6 months. Positions are currently available through Summer 2018.

    • Research Area: Multimedia
    • Host: Jonathan Le Roux
    • Apply Now
  • BI1159: Numerical Methods in Thermal-fluid Systems

    • MERL is seeking a motivated and qualified individual to conduct research in numerical modeling of thermal fluid systems. A solid background in numerical methods in differential algebraic equations (DAEs) is expected. Expertise in numerical modeling and simulation of fluid dynamics and heat transfer is highly desirable. The duration of the internship is expected to be 3 months, with flexible start date. Senior Ph.D. students in applied mathematics, chemical/mechanical engineering with related background are encouraged to apply.

    • Research Area: Business Innovation
    • Host: Hongtao Qiao
    • 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
  • 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
  • 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
  • CV1143: Object Detection in Videos

    • MERL is searching for a graduate student to work on algorithms for object detection in videos. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for detecting objects in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on object detection as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1144: Person re-identification

    • MERL is searching for a graduate student to work on algorithms for person re-identification. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for identifying people in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on person re-identification as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • 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
  • CV1160: Active transfer learning

    • MERL's Computer Vision group is seeking a highly motivated intern for performing research in active learning and transfer learning. The ideal candidate is working towards a Ph.D. in computer science, with a focus on machine learning (for computer vision). We are looking for candidates that are experienced in deep learning. Strong programming skills and knowledge of at least one deep learning library required. We strongly encourage to seek publication of the results obtained during the internship. Duration and start date are flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • Apply Now
  • CV1178: Visual Content Synthesis

    • We are looking for a highly motivated intern to work on developing deep learning algorithms for visual content generation. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publications. The candidate should have a strong background in computer vision and machine learning fundamentals. Prior experience and a good knowledge of the recent trends in deep learning methods is required. Familiarity with methods such as generative adversarial networks or variational autoencoders is a plus. The candidate should be comfortable implementing the developed algorithms in Python and should have prior experience working with frameworks such as Caffe/TensorFlow/Keras/Theano. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, or a related field, with relevant publication record. Interested candidates are encouraged to apply with their recent CV with a list of relevant publications and links to Github repositories (if any)

    • Research Area: Computer Vision
    • Host: Anoop Cherian
    • Apply Now
  • CV1161: Humanlike Artificial Intelligence

    • MERL's Computer Vision group is seeking a highly motivated intern for performing research in machine learning which more closely model how people learn tasks and use learned tasks as building blocks for learning and performing other related tasks. The ideal candidate is working towards a Ph.D. in computer science, with a focus on machine learning (for computer vision). We are looking for candidates that are experienced in deep learning. Strong programming skills and knowledge of at least one deep learning library required. We strongly encourage to seek publication of the results obtained during the internship. Duration and start date are flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • Apply Now
  • CV1142: Video anomaly detection

    • MERL is searching for a graduate student to work on algorithms for anomaly detection in videos. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for detecting anomalous behavior in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on video anomaly detection as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • 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
  • 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
  • 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
  • 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
  • ME1117: Motion Planning in Dynamic Environments

    • MERL is seeking a highly skilled and motivated intern to work on motion planning and tracking control of nonholonomic systems in dynamic environments. The ideal candidate should have solid backgrounds in motion planning algorithms and their implementation, and performance analysis of algorithms. Demonstrated capability in coding algorithms and publishing results in leading conference and journals is a necessity. Senior Ph.D. students in 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: Mechatronics
    • Host: Yebin Wang
    • 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
  • 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
  • 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
  • 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
  • ME1121: Control of Space Vehicles

    • MERL's Mechatronics group is seeking a highly motivated intern for a research position in control of space vehicles. The ideal candidate is working towards a Ph.D. in aerospace, mechanical, or electrical engineering, and has background in both optimization-based control and space vehicle dynamics. The candidate is expected to possess strong abilities in algorithm analysis and Matlab implementation. The duration of the internship is approximately 3 months. Publication of results produced during the internship is expected.

    • Research Area: Mechatronics
    • Host: Avishai Weiss
    • Apply Now
  • ME1118: Control of Networked Systems

    • MERL is seeking a motivated and qualified individual to conduct research in analysis, design, and control of networked systems. The ideal candidate should have solid backgrounds in modeling and analysis of communication network over multiple layers, controller (estimator) synthesis for hybrid systems, and demonstrated capability to publish results in leading control journals. Experience with discrete 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
  • 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
  • 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
  • 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
  • EC1162: Photonic Integrated Circuits Design and Evaluation

    • MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of photonic integrated circuits. The ideal candidate should have a strong background in the simulation, design, and testing of active and passive devices for optical communication. Experience in FDTD, Matlab, Lumerical, silicon photonics, photonic, crystal, optimization algorithms, deep learning, photonic device fabrication/measurements, and IMEC/JePPIX MPW would be considered an asset. Candidates who hold a Ph.D. or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Keisuke Kojima
    • Apply Now
  • EC1154: Time Sensitive Networking in Vehicular Environment

    • 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 time sensitive vehicular networking. The candidate is expected to develop innovative technology to model the behavior of the vehicular devices and the vehicular environment for time sensitive networking support. The candidates should have knowledge of in-vehicle and inter-vehicle networking (e.g., CAN, WAVE), be familiar with network simulation such as NS3. Knowledge of time sensitive networking is a plus. 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
  • 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
  • EC1129: Multi-agents control implementation for wheeled mobile robots

    • MERL is seeking a motivated and qualified individual to conduct research in multi-agent robotics control and real-time implementation. The ideal candidate should have solid background in hardware and real-time control implementation for robotics in ROS environment. Familiarity with multi-agent consensus control is a plus. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 to 6 months. Start day is expected to be in May 2018 or shortly after.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
    • Apply Now
  • EC1177: User association in the mmWave based dense network

    • 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 User association in the mmWave based dense network. The ideal candidate should have solid background in mmWave, optimization, performance analysis, and point Poisson process. In addition, experience in the areas of interference analysis, information wireless caching, and mathematical performance analysis of the wireless 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
  • EC1179: Computational Intelligence in Radio-Frequency Circuit Design and Optimization

    • MERL is looking for an Senior Ph.D. student to work on developing a generalized and efficient framework for computationally expensive RF circuit 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 flexible.

    • Research Area: Electronics & Communications
    • Host: Rui Ma
    • 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
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  • 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
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  • EC1156: Time Synchronization over Heterogeneous Access Networks

    • 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 time sensitive networking over heterogeneous access networks. The candidate is expected to develop innovative technology to accurately synchronize nodes over heterogeneous access networks. The candidates should have knowledge of clock synchronization and time sensitive networking as being developed in IEEE 802.1, be familiar with network simulator such as NS3. Knowledge of the IEEE and IETF synchronization standards such as PTP and NTP is a plus. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Jianlin Guo
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  • EC1130: Intelligent error correction coding

    • The Electronics and Communications group at MERL is seeking a highly motivated, qualified individual to join our 3-month internship program of research on error correction coding for digital communications. The ideal candidate is expected to possess an excellent background in channel coding theory, source coding, information theory, coded modulation design, signal processing, and machine learning. Strong C/C++ skill and GPU/FPGA acceleration are plus. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Toshi Koike-Akino
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  • EC1148: Distributed multi-robot SLAM

    • We are looking for a qualified individual to assist in the development of multi-robot SLAM algorithms, implement algorithms on multiple robot platforms, and conduct experiments. The candidate is expected to have a hands-on experience in implementing algorithms on robot platforms and strong programming skills in ROS, and Python or C++. The duration of the internship is expected to be 3 months, with flexible start date.

    • Research Area: Electronics & Communications
    • Host: Milutin Pajovic
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  • EC1131: Intelligent Brain-Machine Interface

    • The Electronics and Communications group at MERL is seeking a highly motivated, qualified individual to join our 3-month internship program of research on stressless man-machine interface with multi-modal bio-sensors. The ideal candidate is expected to possess an excellent background in brain-machine interfaces, data analytics, machine learning, sensor design, electro-magnetic analysis, augmented reality, and sensing algorithms. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Toshi Koike-Akino
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  • 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
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  • EC1127: GPSGNSS integrity

    • 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 integrity. The ideal candidate should have solid background in signal processing, time synchronization error analysis, data analysis, and GPS receiver algorithms. In addition, experience in the areas of nonlinear estimation, optimization, interference analysis, and performance analysis of GNSS relying 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
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  • EC1153: Intelligent Connectivity in Vehicular Networks

    • 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 the intelligent connectivity within vehicular networks (V2V/V2I). The candidate is expected to develop innovative edge computing technology to realize real time control and services. The candidates should have knowledge of the vehicular networking and data classification. Knowledge of the machine learning is a plus. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Jianlin Guo
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  • EC1157: 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, optical coherence microscopy or FMCW LIDAR. 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
  • 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
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  • 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