Internship - Geometry-Aware Surrogate Modeling for Fluid Dynamics jobs in United States
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Mitsubishi Electric Research Laboratories · 2 months ago

Internship - Geometry-Aware Surrogate Modeling for Fluid Dynamics

Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated Ph.D. student for a research internship in machine learning for fluid dynamics. The role involves developing surrogate models for free-surface flows using advanced neural architectures and requires strong programming skills in Python.

Artificial Intelligence (AI)
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Growth Opportunities
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H1B Sponsorednote

Responsibilities

Develop geometry-aware and physics-informed surrogate models for complex flow systems
Combine high-fidelity simulations with modern neural architectures
Publish the results obtained during the internship

Qualification

Machine learningFluid dynamicsPythonDeep learning frameworksGeometric learningResearch publicationGraph neural networksParticle-based methodsDifferentiable simulation frameworks

Required

Ph.D. student in engineering, applied mathematics, computer science, or related fields
Solid background and publication record in operator learning, graph neural networks and geometric learning, particle-based methods, or differentiable simulation frameworks
Programming skills in Python
Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
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
Research talks by both internal and external speakers
Health insurance coverage
Immigration support for qualified candidates

Company

Mitsubishi Electric Research Laboratories

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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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (4)
2021 (4)
2020 (10)

Funding

Current Stage
Growth Stage

Leadership Team

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Chiori Hori
Senior Principal Research Scientist
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