Neurophysiological Bases of Decision-Making in Mice (M/F)

CNRS - National Center for Scientific Research; France; On-site; EUR 38,000 - 54,000; Full time

Job summary

CNRS invites applications for a postdoctoral position in the Brain Plasticity unit (UMR 8249) in France. The successful candidate will analyze animal behavior during decision-making and record electrophysiological activity across neural populations. Work includes conducting behavioral experiments in mice, data management and advanced analysis, and modeling to interpret neural signals.

The postdoc will join the team led by Ph. Faure and A. Mourot and will be supervised by Philippe Faure.

Qualifications

• Analyses of animal behavior during decision making and recording electrophysiological activity.
• Conduct behavioral and electrophysiological experiments in mice, data management and analysis.
• In vivo electrophysiology, fiber-optic photometry, optogenetics, data modeling and literature familiarity.

Responsibilities

• Perform in vivo electrophysiology experiments in mice.
• Analyze behavioral and neural data and model results.

Job description

Organisation/Company CNRS Department Plasticité du cerveau Research Field Mathematics History » History of science Researcher Profile Recognised Researcher (R2) Application Deadline 2 Dec 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Analysis of animal behavior during decision-making and recording of the electrophysiological activity of populations of neurons

Conducting and analyzing behavioral and electrophysiological experiments in mice. Data management and analysis. Modeling

The postdoctoral fellow will join UMR 8249 Brain Plasticity, in the team led by Ph. Faure and A. Mourot. He will be supervised by Philippe Faure.

In vivo electrophysiology, fiber-optic photometry, optogenetics, animal experimentation, data analysis software. Modeling. Knowledge of the literature.