Mitsubishi Electric Research Laboratories · 1 month ago
Internship - Stochastic Model Predictive Control with Generative Models for Smart Building Control
Mitsubishi Electric Research Laboratories (MERL) is looking for a research intern to develop efficient transformer-informed stochastic MPC to control net-zero energy buildings. This role offers the opportunity to make a significant impact in deep learning and predictive control while working on real systems and aims for the publication of results produced during the internship.
Artificial Intelligence (AI)
Responsibilities
Develop efficient transformer-informed stochastic MPC to control net-zero energy buildings
Make a real impact in the field of cutting-edge deep learning and predictive control on a real system
Publication of results produced during the internship is desired
Qualification
Required
Significant hands-on experience with stochastic MPC
Fluency in Python and PyTorch
Understanding of probabilistic time-series prediction
Experience with convex programming
Completed their MS, or >50% of their PhD program
Preferred
Publications in SMPC are a strong plus
Convex formulations of MPC/SMPC problems are a strong plus
Benefits
Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Participate in weekly social gatherings
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
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2020 (10)
Funding
Current Stage
Growth StageRecent News
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