Postdoc: Generative ML CAD Boundaries

Responsibilities

• scope the project to align to the core research efforts;
• be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors;
• execute the project using TRI resources;
• present the project’s approach and findings in research meetings.

• PhD in Computer Science, Machine Learning or related fields.
• Experience working with CAD data such as B-rep and step-file.
• Experience working with relevant libraries such as pythonocc-core for primitive fitting.
• Experience with multimodal generative models for boundary representations.
• Track record of executing research projects including publications at top venues including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS.
• Desire to work on challenging open-ended research projects.
• Demonstrated ability to work autonomously while soliciting feedback.
• Excellent communication and teamwork skills.