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Postdoctoral Researcher in Multimodal Machine Learning for Human Neurotypes McGill University in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Annual salary is $60,000 for a full-time 35-hour/week postdoctoral position.
Deadline
Nov 13, 2026
Country
Canada
University
McGill University
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About this position
Postdoctoral Researcher in Multimodal Machine Learning for Human Neurotypes at McGill University (Montreal Neuro)
This postdoctoral opening focuses on building a foundation model of human neurotypes by integrating cognitive task performance, conversational text, biometric data, psychometrics, and other multimodal signals. The project emphasizes self-supervised representation learning, multimodal architectures, latent-space modeling of individual differences, and rigorous evaluation of robustness, bias, missing modalities, and generalization.
The role is based at McGill University in Montreal Neuro, with collaboration across software engineering and governance teams. The successful candidate will work on tokenization methods, data integration pipelines, model training, and responsible AI/data-use practices in a research environment that bridges machine learning, computational neuroscience, and cognitive science.
Eligibility highlights: PhD in machine learning, computer science, computational neuroscience, statistics, or a related field; strong Python and deep learning skills; experience with HPC/GPU clusters; and a strong publication/research background in multimodal modeling and representation learning. Preferred experience includes self-supervised learning, NLP, cognitive modeling, and privacy-aware methods.
Funding: Full-time postdoctoral appointment with an annual salary of $60,000.
Application window: Deadline to apply is 2026-11-13. The posting notes that external candidates should follow the McGill job aid and apply through the Workday career portal; current McGill employees must apply via their internal Workday account.
Location: Montreal, Quebec, Canada.
Funding details
Annual salary is $60,000 for a full-time 35-hour/week postdoctoral position.
What's required
PhD in machine learning, computer science, computational neuroscience, statistics, or a related discipline. Proficiency in Python and modern deep learning frameworks is required. Applicants should have experience with high-performance computing infrastructure and GPU clusters, and a strong research background in multimodal modeling, representation learning, and statistical evaluation of machine learning models. Preferred experience includes self-supervised learning, natural language processing (NLP), cognitive modeling, and privacy-aware methods. Applicants must be authorized to work in Canada and willing to work in Quebec; English communication skills are required.
How to apply
Review the McGill job aid for external candidates and apply through the McGill Workday career site. Active McGill employees must apply through their Workday account using Find Jobs.
More information can be found here
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