Mitsubishi Electric Research Laboratories · 2 months ago
Internship - Sample Efficient Safe Reinforcement Learning
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated and qualified individual to conduct research in sample efficient safe reinforcement learning with applications to ultra-high precision positioning systems. The ideal candidate should have a solid background in dynamical systems, control theory, and reinforcement learning.
Artificial Intelligence (AI)
Responsibilities
Conduct research in sample efficient safe reinforcement learning via the integration of model- and learning-based theories, with applications to ultra-high precision positioning systems
Qualification
Required
Highly motivated and qualified individual
Solid backgrounds in dynamical systems
Solid backgrounds in control theory
Solid backgrounds in reinforcement learning
Strong coding skills
Ph.D. students in learning and control are encouraged to apply
Full authorization to work in the U.S
Access to technology, software and other information that is subject to governmental access control restrictions
Preferred
Prior experience on ultra-high precision motion control systems
Benefits
Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers
Health insurance coverage
Company
Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.
H1B Sponsorship
Mitsubishi Electric Research Laboratories has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (4)
2021 (4)
2020 (10)
Funding
Current Stage
Growth StageRecent News
Google Patent
2025-05-17
2025-05-17
2025-05-17
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