Internship Openings

10 / 71 Intern positions were found.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

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 and Syria (Country Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

Rising to the challenges of COVID-19

As the COVID-19 pandemic continues to evolve, MERL is committed to providing a safe environment for everyone, during these challenging times.

If you believe you meet the qualifications of one of our open internships, please consider applying for the position of interest. A member of the researcher team will follow up to schedule an interview by phone or video conference for qualified candidates.

Effective on August 20, 2021, MERL will require proof of vaccination for any student who is hired and required to work onsite at MERL, during their internship. Please be sure to check for any specific requirements for onsite work in the job description.


  • CV1703: Software development in ROS for robotic manipulation

    • MERL is offering an internship position for non-research software development for robotic manipulation. The scope of the internship is to develop robust ROS packages by refactoring existing experimental code. The position is open to prospective candidates with very strong programming skills in ROS (Robot Operating System) using C++ primarily and Python respectively. The selected intern will have a software engineering role rather than research oriented. The position is open to both senior undergraduate students and master students. Flexible start and end dates. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Computer Vision, Data Analytics, Robotics
    • Host: Radu Corcodel
    • Apply Now
  • MS1704: Probabilistic Machine Learning for Few-Shot Optimization

    • MERL is looking for a highly motivated and qualified candidate to work on probabilistic machine learning for few-shot optimization with real-world applications in building and energy systems. The ideal candidate will have a strong understanding machine learning with expertise demonstrated via, e.g., publications, in at least one of: few-shot/meta-learning methods, Bayesian optimization, multimodal learning, or learning for control/estimation of buildings and energy systems. Hands-on programming experience with standard ML toolkits such as PyTorch/Tensorflow is required; knowledge of additional, relevant tools (e.g., GPyTorch, Pyro) is a plus. PhD students are preferred, as an expected outcome of the internship is a publication in a high-tier venue. The minimum duration of the internship is 12 weeks; start time is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization
    • Host: Ankush Chakrabarty
    • Apply Now
  • DA1766: Time Series Analytics and Deep Learning

    • MERL is looking for a self-motivated intern to develop algorithms for time series data analytics, stochastic process modeling, and deep learning. The ideal candidate would be a senior PhD student with experience in one or more of the following areas: machine/deep learning, mathematical optimization, discrete-event systems modeling. Strong programming skills using C# and Python/PyTorch are expected. Experience in transportation applications and spatial-temporal predictions would be a plus. The intern is expected to work with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be 3 months. Start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Artificial Intelligence, Data Analytics, Machine Learning, Optimization
    • Host: BinBin Zhang
    • Apply Now
  • DA1713: Resilient Power Grid and Multi-Energy Systems

    • MERL is seeking a highly motivated and qualified individual to join our summer internship program and conduct research in the area of resilient power grid and multi-energy systems. The ideal candidate should have a solid knowledge of power systems, gas network, water network, energy hubs, and optimization. Experience with MATLAB or C/C++/Python 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 This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Data Analytics, Electric Systems
    • Host: Hongbo Sun
    • Apply Now
  • DA1677: Machine Learning Algorithms for Sequence Prediction

    • MERL is looking for a highly motivated and qualified candidate to work on machine learning algorithms for prediction of spatiotemporal data represented as time series of geospatial locations. The ideal candidate will have solid understanding of sequence prediction algorithms, including transformer neural networks, recurrent neural networks, and other deep neural network models, as well as good foundational knowledge of discrete event systems, including Markov and semi-Markov models. Demonstrated hands-on experience with PyTorch or other Python implementations of such algorithms is required. Additional knowledge of time series analysis and statistical machine learning, as well as experience with tools and methods for geospatial processing would be a plus. PhD students are preferred, but Master's students will be considered, too. The expected duration of the internship is 3-4 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Data Analytics, Machine Learning
    • Host: Daniel Nikovski
    • Apply Now
  • DA1751: Power Grid Fault Event Detection

    • MERL is seeking a highly motivated and qualified individual to join our summer internship program and conduct research in the area of power grid fault event detection. The ideal candidate should have a solid knowledge of power grid, inverter control and protection, outage analysis, signal processing, and machine learning. Experience with MATLAB or C/C++/Python 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. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Data Analytics, Electric Systems, Machine Learning, Signal Processing
    • Host: Hongbo Sun
    • Apply Now
  • DA1702: Machine Learning for Robotic Manipulation

    • MERL is looking for a self-motivated and qualified candidate to work on robotic manipulation projects. The ideal candidate is a PhD student and should have experience and records in one or multiple of the following areas. 1) Machine learning techniques for modeling and control such as Gaussian Processes and Neural Networks. 2) Knowledge of standard Reinforcement Learning algorithms. 3) Experience in working with robotic systems and familiarity with one physics engine simulator like Mujoco, pyBullet, pyDrake. 4) Optimization-based control for complementarity systems. Proficiency in Python is required. The successful candidate will be expected to develop, in collaboration with MERL employees, state of the art algorithms to solve complex robotic manipulation tasks that will lead to a scientific publication. Typical internship length is 3-4 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Optimization, Robotics
    • Host: Diego Romeres
    • Apply Now
  • DA1708: Microgrid fault detection and localization

    • MERL is seeking a highly motivated and qualified individual to join our internship program and conduct research in the area of microgrid fault detection and localization. The ideal candidate should have a solid knowledge of microgrids, inverter control, fault detection and localization, power system protection, and signal processing. Experience with MATLAB, Simulink, and Simscape Electrical is required. The expected duration of the internship is 3 months. Ph.D. students are preferred, but Master''s students will also be considered. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Data Analytics, Electric Systems
    • Host: Hongbo Sun
    • Apply Now
  • SP1732: AI Security for Cyber Physical Systems

    • MERL is seeking a highly motivated, qualified intern to join a 3 month internship program. The ideal candidate will be expected to carry out research on AI security for various cyber physical systems. The candidate is expected to develop innovative AI technologies to increase cyber security. Candidates should have strong knowledge about neural network and learning techniques, such as feature extraction, machine learning, explainable learning, domain adaptation, robust learning, and distributed learning. Proficient programming skills with PyTorch, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • Research Areas: Artificial Intelligence, Communications, Data Analytics, Machine Learning, Signal Processing
    • Host: K.J. Kim
    • Apply Now
  • MD1745: Electric machine operation analysis

    • MERL is looking for a self-motivated intern to work on electric machine experiments and signal processing. The ideal candidate would be a Ph.D. candidate in electrical engineering with solid research background in electric machines, power electronics, and signal processing. Experience in dSPACE is required. Proficiency in MATLAB and simulink is necessary. The intern is expected to collaborate with MERL researchers to carry out experiments, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is 3 months. This internship requires work that can only be done at MERL.

    • Research Areas: Data Analytics, Electric Systems, Signal Processing
    • Host: Dehong Liu
    • Apply Now