PhD: Cognitive Neuroscience & Decision-Making (MEG)

Ecole Normale Supérieure; France; Sur place; EUR 24 000 - 30 000; Plein temps

Résumé du poste

École Normale Supérieure in Paris invites applications for a funded 36-month PhD position under the supervision of Valentin Wyart. The project studies how abstract neural representations support flexible human decision-making, combining behavioural tasks, MEG, and computational modelling to explore how the brain generalises across perceptual and reward-guided decisions.

The selected candidate will receive training in cognitive and computational neuroscience, with MEG recordings and collaboration

Qualifications

• Master’s degree or equivalent in a relevant field (cognitive science, neuroscience).
• Strong quantitative and programming skills (MATLAB and/or Python) and knowledge of statistical methods.
• Experience with behavioural experiments, MEG/EEG, computational modelling, or multivariate data analysis is advantageous.

Connaissances

Quantitative skills

Programming skills

Behavioural experiments

MEG/EEG

Computational modelling

Multivariate data analysis

English communication

Formation

Master's degree in cognitive science/neuroscience

Outils

MATLAB

Python

Description du poste

École Normale Supérieure in Paris invites applications for a funded 36-month PhD position under the supervision of Valentin Wyart. The project studies how abstract neural representations support flexible human decision-making, combining behavioural tasks, MEG, and computational modelling to explore how the brain generalises across perceptual and reward-guided decisions.

The selected candidate will receive training in cognitive and computational neuroscience, with MEG recordings and collaboration