Opportunity Description
Join Autodesk Research in Toronto as a Research Intern focused on physics-informed machine learning. Collaborate on innovative projects that blend AI with computational tools for analyzing airflow and heat transfer.
The Simulation, Optimization and Systems (SOS) Group seeks a dedicated PhD intern for Fall 2026. You will execute original research using novel techniques, prototype development, and conduct learning sessions to enhance team expertise. This role requires proficiency in Python and familiarity with simulation tools, AI ecosystems like PyTorch or TensorFlow, and a commitment to impactful research.
Key Responsibilities: • Conduct research on energy analysis tools for natural ventilation • Develop and apply physics-informed machine learning techniques • Prototype and test new ideas in tools and methods • Utilize open-source and in-house libraries for development • Document work through publications and papers
Requirements: • PhD candidate in Engineerin...
The Simulation, Optimization and Systems (SOS) Group seeks a dedicated PhD intern for Fall 2026. You will execute original research using novel techniques, prototype development, and conduct learning sessions to enhance team expertise. This role requires proficiency in Python and familiarity with simulation tools, AI ecosystems like PyTorch or TensorFlow, and a commitment to impactful research.
Key Responsibilities: • Conduct research on energy analysis tools for natural ventilation • Develop and apply physics-informed machine learning techniques • Prototype and test new ideas in tools and methods • Utilize open-source and in-house libraries for development • Document work through publications and papers
Requirements: • PhD candidate in Engineerin...
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