The Courtois project on neuronal modelling (NeuroMod), is looking for a PhD student or Postdoctoral Fellow with prior training in human affective neuroscience. The successful candidate will work on a project using human neuroimaging and extensive physiological data to train artificial neural networks to behave in a more flexible, humanlike manner.
This project builds on a research platform integrating behavioral and physiological monitoring to develop brain models informed by dynamic changes in peripheral activity. Brain-body interactions will be examined using classical psychophysiological methods combined with fMRI to study emotion and affect regulation during standardized cognitive-affective, and more ecological conditions, such as watching movies and playing video games.
Start, duration, and salary:
The position is available immediately and involves a collaboration between the laboratory of Pierre Rainville (LaNeP3) and Pierre Bellec (SIMEXP), at the Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM). Funding is available for 1 year, renewable, but selected candidates are expected to apply for external bursaries.
The desired candidate is a motivated individual willing to work in a highly collaborative and multidisciplinary environment. The research projects require strong knowledge and experience in physiological signal processing. Specific tasks will involve acquiring human physiological data in fMRI projects, and developing efficient signal processing pipelines to be applied in a variety of neuroimaging research contexts.
The candidate is also expected to work closely with research teams with expertise in machine learning and AI, and she/he will have opportunities to build on, and/or develop these skills.
Education and experience requirements:
Prior training in Affective Neuroscience or Biomedical Engineering
Expertise in human physiological signal processing
Knowledge of Matlab and/or Python programming
Team-oriented; excellent organizational, interpersonal and communication skills
Experience in fMRI, multivariate pattern analysis, computational modeling, and/or machine learning are all assets
Please send a cover letter stating your research interests and experience, along with a CV and the contact information for two references to email@example.com. Applications will be accepted until the position is filled.
Internal Number: nmlanep01
About Centre de Recherche Institut Universitaire de Gériatrie de Montréal (CRIUGM/Université de Montréal)
The position involves a collaboration between the laboratory of Pierre Rainville (LaNeP3) and Pierre Bellec (SIMEXP), at the Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM).
For details, please visit:
Laboratoire Neuro-Psycho-Physiology of Pain
laboratory for brain simulation and exploration
Centre de Recherche - Institut Universitaire de Gériatrie de Montréal