Internship in Machine Learning Research

Autodesk Research is seeking a Research Intern in Toronto for Fall 2026. Focus on merging physics-informed methods with computational analysis for building airflow and heat transfer applications.

This internship opens doors for a PhD student to engage in innovative research under Autodesk’s Simulation, Optimization and Systems (SOS) Group. You will design prototypes, investigate energy analysis tools, and share your findings through documentation, enriching the team’s knowledge base. Your skills in Python and AI model ecosystems are essential for success in this role.

Key Responsibilities:

• Research natural ventilation through CFD simulation tools

• Innovate with physics-informed machine learning techniques

• Test prototypes and validate research ideas

• Leverage both open-source and proprietary libraries

• Contribute documentation through published work

Requirements:

• PhD candidate in Engineering, Physics, Mathematics, Computer Science

• Experience with data-driven simulation methodologies

• Strong Python programming skills and AI model experience

• Familiarity with physics simulation tools and numerical solvers

• Record of publishing in prestigious conferences and journals

Engage in meaningful projects that shape the future of energy analysis at Autodesk.
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