Internship Openings

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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.

  • DA1076: High-Dimensional Reinforcement Learning

    • MERL is looking for a highly motivated intern to work on developing reinforcement learning algorithms to solve problems with high-dimensional state and action spaces. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publication. The candidate should have a strong background in reinforcement learning and machine learning/statistics. The candidate should be comfortable implementing the developed algorithms in Python. Prior exposure to deep learning and hands-on experience with packages such as Keras, TensorFlow, or Theano is a plus. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, Operations Research, Statistics, Applied Mathematics, or a related field, with relevant publication record. The starting date is flexible and can be as early as April 2017.

    • Research Area: Data Analytics
    • Host: Amir-massoud Farahmand
    • Apply Now