Research Intern, Physics-Informed Machine Learning

Job Requisition ID 26WD94881

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 airflow and heat transfer in building environments. 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. Minimum Qualifications

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