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
Research Intern, Physics-Informed Machine Learning at Autodesk
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
Requirements
Currently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplines with a graduation date no earlier than January 2027.
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
About the Canada Intern Program
About Autodesk
About Autodesk Research
Learn More
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
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When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.
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We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Benefits
Remote work optionsFlexible schedule
Additional Information
Job Requisition ID #
26WD94881
Position Overview
The Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2026 at our Toronto office . The ideal 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.
Autodesk · Toronto, Canada