Research Intern in Physics-Informed AI

Develop cutting-edge solutions as a Research Intern for Autodesk in Toronto, focusing on physics-informed machine learning this Fall 2026. Drive research that integrates AI and computational tools for building analysis.

The SOS Group at Autodesk Research invites a PhD student to contribute innovative ideas and prototype code for airflow and heat transfer studies. Engage in original research, enhance your programming skills in Python, and participate in enriching team learning sessions. This internship offers a platform for growth in both academic and professional realms, highlighting paths for impactful research.

Key Responsibilities:

• Conduct analyses on energy tools using CFD simulations

• Apply novel methods in physics-informed machine learning

• Prototype solutions for testing and development

• Work with open-source and proprietary resources

• Document research findings in publications or internal reports

Requirements:

• Enrollment in a PhD program in relevant fields like Engineering or Physics

• Data-driven experience in simulation practices

• Excellent Python programming and AI model training

• Knowledge of physics simulation tools and solvers

• Proven track record in publishing research

Join Autodesk's innovative team and elevate your research expertise through this internship.
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