法国巴黎脑研究所(ICM)Nelson Rebola实验室招聘系统神经科学方向博士后—视觉皮层、体内成像与电生理学
法国巴黎脑研究所(ICM)Nelson Rebola实验室招聘系统神经科学方向博士后—视觉皮层、体内成像与电生理学
Postdoctoral Position in Systems Neuroscience – Visual Cortex, In Vivo Imaging & Electrophysiology
Employer
Nelson Rebola
Location
Paris, Ile-de-France (FR)
Salary
Annual salary: €35,000 (gross), negotiable depending on experience.
Closing date
13 May 2026
Website
https://therebolalab.org/
Discipline
Life Science
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia
Job Details
Position overview
The Rebola Laboratory at the Paris Brain Institute (ICM) is recruiting a highly motivated postdoctoral researcher to investigate how cellular and molecular mechanisms shape information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1), combining state-of-the-art in vivo approaches with quantitative data analysis.
About the lab and environment
The Rebola Lab (https://therebolalab.org) studies how variability in synaptic function across neuronal types shapes sensory coding and circuit computation, with a strong emphasis on neocortical cell diversity and synaptic properties. We integrate detailed biophysical work with in vivo circuit-level analyses. The Paris Brain Institute provides access to cutting-edge imaging, electrophysiology, behavioral platforms, and a vibrant collaborative neuroscience ecosystem in central Paris.
Key responsibilities You will:
Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1
Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or electrophysiology (e.g., Neuropixels)
Analyze and integrate multimodal datasets to link synaptic interactions to visual response properties
Contribute to a collaborative lab culture, including mentoring students and participating in team projects
Candidate profile (required) PhD in Neuroscience or a closely related field (by start date)
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