Position Overview Job Requisition ID # 26WD Position Overview As a PhD Research intern in Autodesk Research’s AI Lab, you will explore and apply advanced machine learning techniques to empower our customers in designing and building a better, safer, and more sustainable world. We are a team of researchers, engineers, and industry domain experts working on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. We are seeking a research intern to join our research team focused on machine learning and generative methods for content creation in the media and entertainment space. In this role, you will conduct research on novel methods for character animation and related problems at the intersection of machine learning and computer graphics. Potential research directions include generative motion models, controllable character animation, data-productive learning and adaptation, representation learning, and learning approaches that incorporate physics or simulation. The goal of this research is to enable more intuitive use of our animation tools by automating repetitive tasks.



Autodesk's AI Lab is actively engaged in the broader research community, targeting publications at top-tier conferences such as CVPR, NeurIPS, ICML, SIGGRAPH, and ICLR. We collaborate with top academic & industry labs, combining the best of an academic environment with product-driven research. Minimum Qualifications Full-time student pursuing a Ph.D. in Computer Science, Computer Graphics, Computational Physics, Machine Learning or a discipline in an accredited program Broad understanding of machine learning and deep learning Excellent Programming and software development skills, with experience in Python Proficient with ML & DL platforms & libraries (PyTorch, TensorFlow, Keras, ONNX/Runtime, scikit-learn, etc.) Experience conducting research and publishing results An excellent communicator and team player Preferred Qualifications Deep expertise in one or more areas such as computer graphics, character animation, motion generation, 2D/3D geometry representation learning, generative models, and unsupervised/self-supervised learning Experience with differentiable physics, data-driven computational physics, solver-driven learning (physics-in-the-loop), physics-informed models Experience with

📌 Phd Researcher, Ai Research (Toronto)
🏢 Autodesk
📍 Toronto