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PhD thesis in cognitive neuroscience (M/F)

This offer is available in the following languages:
- Français-- Anglais

Application Deadline : 15 April 2025 23:59:00 Paris time

Ensure that your candidate profile is correct before applying.

General information

Offer title : PhD thesis in cognitive neuroscience (M/F) (H/F)
Reference : UMR5549-LESMAR-014
Number of position : 1
Workplace :
Date of publication : 25 March 2025
Type of Contract : FTC PhD student / Offer for thesis
Contract Period : 36 months
Start date of the thesis : 9 December 2025
Proportion of work : Full Time
Remuneration : 2478 gross monthly
Section(s) CN : 51 - Data and biological systems modelling and analysis: computer, mathematical and physical approaches

Description of the thesis topic

The project is part of an ERC starting grant investigating the role of oscillatory traveling waves in cognitive functions. Our primary goal is to study neural oscillations within and between cortical regions, as well as cortical-thalamic interactions. Our approach's novelty consists of framing the model in the light of Predictive Coding principles, using a computational approach based on spiking and deep neural networks. We'll compare the results of the simulations against experimental recordings of human participants (mostly EEG) to validate and assess the model's predictions.

Work Context

The successful candidate will join the Center de Recherche de Cerveau et Cognition (CerCo) in a dynamic research institute in Toulouse, a thriving city in the south of France. CerCo is a research center created by the National Center for Scientific Research (CNRS) and Paul Sabatier University, made up of more than 30 researchers and around 40 doctoral and post-doctoral students. The candidate will join the NeuroAI team, with a strong focus on computational neuroscience and artificial intelligence. The team has access to different experimental facilities, such as EEG, TMS and fMRI, as well as computing resources (clusters and local GPUs).

Constraints and risks

None

Additional Information

Please provide a transcript of the marks for the two years of the master's degree with details of the attended classes, a copy of the research dissertation carried out as part of the master's degree, a detailed CV, and a cover letter.