Internship Openings

52 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 Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

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


  • 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
  • BI1051: Mechanical Design of Robotic System

    • MERL seeks a qualified intern to design and build a prototype mechanical robotic system. MERL is developing a new type of robotic manipulator intended for high precision assembly. The internship will involve the design the mechanical system in Solidworks, simulation of the robot kinematics and dynamics with MERL researchers, and also construction of a prototype robot. Expertise with Solidworks is necessary. Experience operating 3D milling machines and other types of machine tools is also necessary. Start and end dates are negotiable.

    • Research Area: Business Innovation
    • Host: Scott Bortoff
    • Apply Now
  • DA1024: Micro Grid Synchronization and Control

    • Mitsubishi Electric Research Laboratories (MERL) at Cambridge MA is looking for a highly motivated intern to conduct research on Micro Grid Synchronization and Control. The ideal candidate would be a senior Ph.D. student, or postdoctoral researcher, and have solid background in power electronics, generator/grid synchronization, power system control, and energy storage systems. The candidates should have strong programming skills in Matlab or C/C++. The duration of the internship is expected to be 3-6 months, and the start date is flexible.

    • Research Area: Data Analytics
    • Host: Hongbo Sun
    • Apply Now
  • DA1061: Numerical Methods for Process Applications

    • MERL is seeking a motivated graduate student intern to develop numerical methods for function approximation and regression analysis for target applications that include the representation of thermophysical properties for process applications. The ideal candidate would have a solid background in numerical methods, such as the construction of splines to approximate multivariable functions. Strong programming skills and experience with Python/C/C++/Matlab are expected. Knowledge of Modelica or other equation-oriented languages (gPROMS, Aspen HYSYS), thermodynamics, and/or nonlinear dynamics and control methods 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: Data Analytics
    • Host: Chris Laughman
    • Apply Now
  • DA1065: Time Series Analytics Intern in Data Analytics

    • The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2017. The ideal candidate is expected to have a strong background in time series analytics with experience in subsequence matching, feature representation, and matching distance development. Preferred candidates will have a background in subsequence matching across multiple time series. The candidate is expected to have strong programming skills in a programming language like 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
  • DA1026: Transfer Learning Intern in Data Analytics

    • The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2017. The ideal candidate is expected to have a strong background in machine learning with experience in transfer learning. Preferred candidates will have a background in semi-supervised or unsupervised learning. The candidate is expected to have strong programming skills in Python with experience using pandas, scikit-learn and scipy. Prior experience in Matlab is expected. 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
  • DA1070: Load Forecasting

    • MERL is looking for a highly motivated individual to work on short-term electric power load forecasting. Successful candidates will collaborate with MERL researchers to derive and implement new algorithms. The ideal candidate is a senior Ph.D. student in electrical and computer engineering or computer science with experience in the following areas: machine learning, optimization algorithms, time series analysis. Capability of implementing the developed algorithms in Matlab or R is expected. The duration of the internship is 3 months. The preferred start date is March 1, 2017.

    • Research Area: Data Analytics
    • Host: Daniel Nikovski
    • Apply Now
  • MM1048: Deep Learning for Artificial Intelligence

    • We are seeking graduate students excited about new possibilities in artificial intelligence, driven by the latest advances in deep learning. The research focuses on integrating natural language understanding with multi-modal scene understanding using multi-task learning. The ultimate goal interactive question answering about an observed audio/visual scene, as a step toward developing grounded semantic representations. The ideal candidate would be a senior Ph.D. student with availability for a 3-6 month internship and experience in one or more of natural language, speech, and computer vision. The candidate should be well-versed in deep learning methods for sequential and structured prediction problems, such as attention models, and related programming skills for large scale problems. The internship work is expected to contribute to publications in the field and may serve as a component of the candidate's graduate thesis.

    • Research Area: Multimedia
    • Host: John Hershey
    • Apply Now
  • MM1009: Audio Analysis

    • We are seeking graduate students interested in working on cutting-edge noise-robust audio analysis and pattern recognition technology for applications in robotics. 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 2017. Extra consideration will be given to candidates with availability between now and April 2017.

    • Research Area: Multimedia
    • Host: John Hershey
    • 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
  • MM1007: 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 2017. Extra consideration will be given to candidates with availability between now and April 2017.

    • Research Area: Multimedia
    • Host: Jonathan Le Roux
    • Apply Now
  • MM1008: Multi-spectral image fusion

    • MERL is looking for a self-motivated intern to work on multi-spectral image fusion. The ideal candidate would be a senior Ph.D. student with solid background in computer vision, image enhancement and image segmentation. Experience in sparse modeling is desirable. Proficiency in MATLAB and C/C++ programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible, expected duration is 3 months.

    • Research Area: Multimedia
    • Host: Dehong Liu
    • Apply Now
  • MM1010: Fluid Dynamics Estimation and Control

    • MERL is seeking a motivated and qualified individual to conduct research in fluid dynamics estimation and control. The ideal candidate should have solid background in PDE model reduction, observability analysis and state observers design for dynamical systems. Familiarity with operator-based model reduction or adaptive control techniques is a plus. Publication of the results produced during the internship is anticipated.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • 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
  • MM1046: 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 and/or Bayesian approaches. 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 source separation, speech recognition, and/or 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 2017.

    • Research Area: Multimedia
    • Host: Shinji Watanabe
    • 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
  • CV1038: Health Monitoring from Video

    • MERL is seeking a highly motivated intern to conduct original research in the area of health monitoring from video. 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 face alignment and tracking, signal processing, machine learning, and health monitoring. Strong programming skills (C/C++, Matlab, etc.) are expected.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1032: Computer Vision AI

    • MERL is looking for a highly motivated intern to work in the area Machine Learning/Deep Learning. The candidate will collaborate with MERL researchers to develop and implement prototypes. The ideal candidate would be a PhD computer vision student with a strong background in computer vision and machine learning. Knowledge of C++ and Matlab are expected. The duration is 3 months. The start date is flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • 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
  • CV1037: 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. Expected starting date: May/June 2017.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1019: object detection

    • MERL is searching for a graduate student to work on algorithms for multi-object detection. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills in C/C++. Familiarity with Caffe or other deep learning packages is desired. The intern will be expected to design and train new neural network architectures, conduct experiments and prepare results for publication. Familiarity with recent work on multi-object detection is a plus. The expected duration is 3 months.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1020: 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 in C/C++. 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 is a plus. The expected duration is 3 months.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • 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
  • EC1053: Big Data Analytics

    • MERL is seeking a highly motivated, qualified individual to join the Electronics and Communications group for a three month internship program. The ideal candidate will be expected to carry out research on big data analysis for industrial IoT. The candidate is expected to develop innovative big data analytics technology to provide optimal analysis results to industrial automation system for achieving zero down time production. The candidates should have knowledge of data analysis, machine learning, edge/fog computing and industrial IoT. 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
  • 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
  • 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
  • EC1018: Advanced 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, coded modulation design, and signal processing. 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
    • Apply Now
  • EC1044: Photonic Integrated Circuits and Nanomaterials 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 and nanomaterials design and evaluation. The ideal candidate should have a strong background in the simulation and design of active and passive devices for optical communication, as well as nanomaterials. Experience in Lumerical FDTD and INTERCONNECT, Matlab, JePPIX, silicon photonics, hybrid integration, photonic crystals, nanomaterials, optimization algorithms, and photonic device fabrication/measurements would be considered an asset. Candidates who hold a Ph.D. or are in their senior years of a Ph.D. program are encouraged to apply.

    • Research Area: Electronics & Communications
    • Host: Keisuke Kojima
    • Apply Now
  • EC1011: Intelligent Man-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 sensors. The ideal candidate is expected to possess an excellent background in man-machine interfaces, data analytics, machine learning, sensor design, electro-magnetic analysis, and sensing algorithms. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply. Please note that starting date is flexible depending on candidate availability, but the earliest starting date is 4/1/2017.


    • Research Area: Electronics & Communications
    • Host: Toshi Koike-Akino
    • 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
  • 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
  • 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
  • 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
  • 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
  • ME1028: Predictive Control of Space Vehicles

    • MERL's Mechatronics group is seeking a highly motivated intern for a research position in predictive 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
  • ME1049: Model predictive control theory algorithms applications

    • MERL is looking for highly motivated individuals to work on model predictive control theory, algorithms, and applications. Successful candidates will collaborate with MERL researchers to derive and implement new control designs and optimization algorithms, and to analyze and prove their properties. The ideal candidate is a senior Ph.D. student with experience in at least some of the following areas: predictive control, optimization algorithms, modular control design, integration of identification and control, invariance and Lyapunov methods. Publication of relevant results in conference proceedings and journals is expected. Capability of implementing the designs and algorithms in Matlab is expected; capability of coding parts of the algorithms in C is a plus. The duration of the internship is 3-6 months. Start date is flexible, between February and July 2017.

    • Research Area: Mechatronics
    • Host: Stefano Di Cairano
    • 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
  • ME1034: Optimal transport and PDE based control

    • MERL is looking for a highly motivated intern to work on developing theory and algorithms for PDE-based control algorithms for nonlinear multi-agent and swarm systems. The ideal candidate would be a senior Ph.D. student working on swarm planning, PDE-based control or mean-field control theory. Exposure to dynamical systems techniques, fluid mechanics and geometric mechanics/geometric control theory is highly desirable. The internship will last 3-4 months, with possibility of an extension. The starting date is flexible. Publication of work done during the internship is expected.

    • Research Area: Mechatronics
    • Host: Piyush Grover
    • 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, with a start date between April and July of 2016. Ph.D. candidates in the field of engineering are encouraged to apply.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
    • Apply Now
  • ME1021: Nonlinear estimation

    • MERL is seeking a motivated and qualified individual to conduct research in control of electrical machines. The ideal candidate should have solid backgrounds in nonlinear estimation and electrical machines, demonstrated capability to publish results in leading control journals, and experience with Matlab/Simulink and real-time control experiments involving high power devices. Start date for this internship is around May 2017 and the duration is about 3 months.

    • Research Area: Mechatronics
    • Host: Yebin Wang
    • Apply Now
  • ME1041: Exploiting Structure in Optimization and Control

    • MERL is seeking a motivated and qualified individual to conduct research on exploiting structure in control and optimization problems. The ideal candidate should have a solid background in mathematics, optimization, and/or optimal control. PhD students in engineering, operation research, or mathematics with focus on optimization or control are encouraged to apply. The intern will collaborate with MERL researchers in developing algorithms for reducing the computational complexity of optimization and optimal control problems. Start date for this internship is flexible and the expected duration is approximately 3-6 months.

    • Research Area: Mechatronics
    • Host: Claus Danielson
    • Apply Now
  • ME1033: 3D Printing in Extreme Environments

    • MERL's Mechatronics group is seeking a highly motivated intern for a research position on additive manufacturing in extreme environments. The ideal candidate is working towards a Ph.D. in material science, mechanical, or aerospace engineering, and has background in 3D printing and electromagnetics. Experience with CAD and hands-on mechatronics is desired. The expected duration of the internship is approximately 3-6 months. Publication of results produced during the internship is expected.

    • Research Area: Mechatronics
    • Host: Avishai Weiss
    • 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
  • ME1066: formal methods for autonomous vehicles

    • MERL is seeking highly motivated individuals to work on formal methods for planning and control of autonomous vehicles. Successful candidates will collaborate with MERL researchers to develop novel control designs and algorithms for vehicle planning and control that achieve safety and liveness properties, and to verify the performance in simulation and possibly in an scaled experimental setup. The ideal candidate is a senior Ph.D. student with experience in at least some of the following areas: formal methods for control, set-based control and invariance, predictive and constrained control, vehicle dynamics. Publication of relevant results in conference proceedings and journals is expected. Capability of algorithm implementation and evaluation in Matlab is expected, capability of coding in C/C++ and executing experiments in a ROS-based robotic environment is desired. The duration of the internship is 3-6 months. Start date is flexible, between February and September 2017.

    • Research Area: Mechatronics
    • Host: Stefano Di Cairano
    • Apply Now
  • ME1059: Atmospheric fluid dynamics modeling and estimation

    • The Mechatronics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2017. The ideal candidate will be a senior Ph.D. student specializing in fluid dynamics, with experience in atmospheric science, turbulence modeling, and computational fluid dynamics (CFD). Research experience in model reduction and data-driven methods is very desirable. Familiarity with computational programming languages like MATLAB, Fortran or C++ is expected. Publication of results obtained during the internship is expected. The starting date is flexible between April-June 2017, and the internship will last 3-4 months.

    • Research Area: Mechatronics
    • Host: Saleh Nabi
    • 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
  • 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
  • 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
  • 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, with a start date between April and July of 2016. Ph.D. candidates in the field of engineering are encouraged to apply.

    • Research Area: Mechatronics
    • Host: Uros Kalabic
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  • ME1040: Control of Systems with Constraints

    • MERL is seeking a motivated and qualified individual to conduct research on constrained control problems. 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 flexible and the expected duration is approximately 3-6 months.

    • Research Area: Mechatronics
    • Host: Claus Danielson
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