ChatGPT Jobs · 7 hours ago
PhD Intern, Physics-Informed Machine Learning
Autodesk is seeking a passionate and skilled research intern for Summer 2025 in their Simulation, Optimization and Systems Group. The intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.
Computer Software
Responsibilities
Research on energy analysis tools for natural ventilation and their parameterization using CFD simulations
Conduct original research in developing or applying novel techniques in physics-informed machine learning
Implement prototypes to test and demonstrate the ideas and methods
Work with both open-source libraries and in-house libraries to develop the prototypes
Write documentation of the work, either as academic publication or internal white paper
Contribute to the technical expertise of the SOS Group by conducting learning sessions
Qualification
Required
Currently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplines
Experience with data-driven methods in simulation
Experience with development of physics simulation tools and numerical solvers
Experience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)
Experience and excellent knowledge of Python
Experience in publishing at top-tier conferences and journals
Benefits
All internships are paid.
You will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development.
Our internships align with Autodesk's Flexible Workplace approach.
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase