Fall Research Intern

Position: Fall 2026 Research Intern at Autodesk
Become a Research Intern in Fall 2026 with Autodesk's SOS Group in Toronto, focusing on physics-informed machine learning. Engage in research related to natural ventilation and heat transfer.

The Simulation, Optimization and Systems Group at Autodesk seeks a passionate PhD student for a 16-week internship experience. Candidates should be well-versed in physics simulations, data-driven methodologies, and possess strong programming skills in Python. This role emphasizes original research and the development of innovative tools for energy analysis in building environments.

Key Responsibilities:

• Conduct research on natural ventilation using simulation techniques

• Develop and test prototypes for physics-informed models

• Collaborate with various libraries for effective implementation

• Document research outcomes for academic and internal use

• Lead knowledge sharing sessions within the SOS team

Requirements:

• Currently pursuing a PhD in relevant engineering or science fields

• Demonstrated experience with simulation tools and methods

• Proficient in Python and AI model training environments

• Established publication record in recognized academic forums

• In-depth knowledge of data-driven simulation techniques

Leverage your skills to contribute to meaningful research projects at Autodesk, enhancing both your knowledge and experience in the field.
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