Mitsubishi Electric Research Laboratories · 2 months ago
Internship - Uncertainty Quantification & Bayesian Inverse Problems
Cambridge, MA
Internship
Onsite
Intern
$6,000/mo - $8,000/moMitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated PhD student for an internship focused on uncertainty quantification in computational modeling of physical systems. The role involves advancing UQ methodologies and practices, with applications in various fields such as wave propagation and fluid dynamics.
Artificial Intelligence (AI)
Responsibilities
Advance the methodology and practice of uncertainty quantification (UQ) in computational modeling of physical systems
Focus on generative models, reduced-order stochastic models, and optimal sensor placement for Bayesian inverse problems
Draw upon foundational ideas and techniques in applied mathematics and statistics for applications in wave propagation, fluid dynamics, and high-dimensional systems
Publish the results obtained during the internship
Qualification
Required
PhD student in engineering, applied mathematics, computer science, or related fields
Solid background and publication record in generative models, stochastic modeling, dimensionality reduction, Bayesian inference, optimal experimental design, and tensor methods
Programming skills in Python or MATLAB
Publication of the results obtained during the internship is expected
Benefits
Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
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.
Founded in 1991
51-200 employees
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
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2025 (1)
2024 (2)
2023 (4)
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2020 (10)
Funding
Current Stage
Growth StageLeadership Team
Chiori Hori
Senior Principal Research Scientist
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