Internship Openings

9 / 53 Intern positions were found.

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.


  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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