McMaster University’s METRE lab (Modeling and Experiment in Timing, Rhythm & Entrainment) is seeking new Master’s and PhD students to work with PI Dr. Jonathan Cannon on computational models of rhythm perception and production in the brain.
Topics may include RNNs for generation of dynamic motor and premotor trajectories; models of oscillations and action selection in the basal ganglia; dopamine-driven reinforcement learning of coordinated rhythmic action; models of timing and prediction in the cerebellum; and Bayesian brain / predictive processing models.
Projects may draw on custom, computationally-informed psychophysics experiments, or on intracranial electrophysiology and electrochemistry data from collaborators.
Appropriate student background could include neuroscience, computational modeling, physics, and/or mathematics. Student may enrol through the graduate program in Neuroscience (https://neuroscience.mcmaster.ca/) or the graduate program in Computational Science and Engineering (https://cse.mcmaster.ca/graduate-studies/).
For full consideration on this round of admissions, email Dr. Cannon by December 23, 2025 (but better late than never), including the text “Prospective (domestic/international) (Masters/PhD) student – CAN posting” in the subject.
Contact information:
cannoj9@mcmaster.ca
Posting end date: 2025-01-31
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