Post-doctoral position in comparative study of reward learning, stress and psychedelics- McGill University

Do you want to know what mice think about on mushrooms? Are you interested in making inferences in mice and humans?

The Behavioural Neurogenomics Lab (https://www.bagotlab.org) at McGill University is looking for a highly motivated computational neuroscience postdoc to lead a newly funded collaboration examining the neural bases of effects of stress and psychedelics on reward processing in mice and humans. This is a fully funded position intersecting computational modeling, neural circuit interrogation and robust behavioural paradigms. Based in Montreal, the candidate will work closely with the Noise Lab at Université de Montreal (https://ebitzlab.com/) and the Mayo Lab (https://profiles.ucalgary.ca/leah-mayo) at University of Calgary to develop new approaches for the comparative study of the neural processing of reward.

The candidate must have a PhD in computational neuroscience, psychology, cognitive science or a quantitative discipline as well as fluency in Matlab or Python and experience in statistical data analysis and an interest in translational or comparative research. Ideally, the candidate would have some background in cognitive and/or reinforcement learning models, generalized linear models, hidden Markov models or probabilistic graphical models.

Anticipated start date April 1, 2024 for an initial term of 1 year with the possibility of renewal.

Come join an exciting, diverse team in a unique city with a supportive, and highly collaborative environment.

To apply, please send a PDF of your CV to rosemary.bagot@mcgill.ca with a list of three potential references to contact. In your email, please describe 1) why you are interested in the position and 2) how your prior experience relates to this research opportunity.

Posting end date: 2024-03-30