The Noise lab (PI: Becket Ebitz) at the Université de Montréal is looking
for postdoctoral research associates for a project focused on understanding
the energetics of exploratory behavior in humans and rhesus macaques. The
project is focused on identifying links between statistical measures of the
dynamics of cognitive states and the metabolic demands of the brain and
body.

We know that a diversity of perspectives improves and invigorates our work
and we encourage applications from people from all backgrounds and with all
identities.

*About the environment:*

We are a systems/cognitive neuroscience lab working on decision-making and
executive function. The lab is highly sociable, values kindness,
cooperation, and a good work-life balance, and covers costs related to
professional development, conference travel, computers and supplies, and
eligible moving expenses. We prize collaboration and most projects in the
lab are led by teams of students and postdocs who are excited about sharing
their skills and expertise. More information about our research is
available on our website (http://ebitzlab.com) and in our recent papers.

The lab is located in the Department of Neurosciences at the Université de
Montréal (UdeM) and part of a number of research centers, including the
Centre Interdisciplinaire de Recherche sur le Cerveau et l’Apprentissage
(CIRCA; Center for interdisciplinary research on the brain and learning)
and Unifying Neuroscience-AI Quebec (UNIQUE). UdeM is one of the top
research institutions in Canada and is especially well known for its work
in data science, machine learning and AI (i.e. the world-renowned Mila
Research Institute and IVADO, a $210 million Canada-First Research
Excellence Fund program). The ideal candidate will be excited about
building connections and collaborations across campus.

*Position details:*

Research projects in the lab involve behavioral and physiological
experiments in humans, large-scale electrophysiology studies in the rhesus
macaque, and computational modeling. We are open to candidates who are
excited to focus on any and all of these techniques. This specific project
is funded by the US Air Force Office of Scientific Research. Its goal is to
understand how and why high-stress, energetically-demanding environments
compromise cognitive flexibility. The project will build on computational
and experimental techniques we developed in the lab to measure the neural
computations involved in cognitive flexibility and characterize their
energetic costs in the brain and body.

The ideal candidate(s) will be excited to take the lead on their
project(s), coordinating with technical staff, other students and postdocs,
the PI, and other collaborators for support as needed. There are
opportunities for international collaboration, including in analyzing human
intracranial recording data, patient behavioral and/or imaging data, and
rodent fiber photometry data. The postdoctoral researcher will also have
opportunities to mentor undergraduate and graduate students and to
participate in professional development activities related to their
long-term career goals.

*Basic Qualifications:*

- PhD expected or obtained in Neuroscience, Psychology, or Physiology, or
computationally-intensive field (i.e. Math, Physics, or Engineering).
- A record of academic productivity including several conference
presentations and at least one manuscript in press.

*Preferred Qualifications:*

- Extensive programming experience (ideally with Matlab and/or Python).
- Previous experience in collecting and analyzing neurophysiology data.
- If working with NHPs, previous experience with NHPs or other large
mammals.
- Familiarity with dynamical systems theory, control theory, and/or linear
algebra.
- Solid written and oral communication skills in English.

*How to Apply:*

Please send a pdf of your CV to [email protected]. In your email, please
describe 1) why you are interested in the position, and 2) your previous
research. We will begin reviewing applications immediately and continue
until the positions are filled. The start date is negotiable.

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