We are offering a 2-months internship (flexible starting date in 2026) in computational neuroscience under the supervision of Claire Meissner-Bernard.
Research project: Brain-wide communication is fundamental to cognitive functions such as
learning and memory, yet how neuronal networks interact across different regions remains
poorly understood. This project will explore how the hippocampus, which encodes contextual information, and the amygdala, which encodes emotional information, interact during memory formation and recall. The student will benefit from existing datasets from the lab, in which neuronal activity across multiple regions was simultaneously recorded during emotional memory tasks. The student will use state-of-the-art population analysis tools and/or build data-constrained models to gain insight into how information is processed and stored across distributed brain regions to generate adaptive behaviors.
Candidate profile: Motivated M1 student with a background in neuroscience, computational neuroscience, physics, computer sciences or related field. Programming skills. Prior experience with machine learning is a plus but not required. Ability to read and understand English
Candidates should send a CV + motivation letter to claire.meissner-bernard@inserm.fr
**We will not consider applications with AI-generated motivation letters**