Develop multimodal machine learning techniques to build a foundation model of human neurotypes using cognitive, conversational, biometric, psychometric, and creative-choice data. Responsibilities include self-supervised representation learning, multimodal architecture development, latent-space modeling, rigorous evaluation, bias and privacy analysis, and collaboration on preprocessing pipelines and cloud-based model integration. Requires a PhD and expertise in multimodal modeling, deep learning, statistical evaluation, and GPU-based computing.

Assist with organizing and managing the Family Medicine Research Seminars course, supporting online delivery, responding to student inquiries, and assessing assignments. The position is for one Ph.D. student in McGill University's Family Medicine Program and involves 20 total hours during the winter 2027 term.

Supports the FMED 527 course on Inuit health by assisting with course management and delivery, responding to student inquiries, and assessing assignments. The role is within McGill’s Department of Family Medicine and involves approximately 40 hours of work during the academic term.