The successful candidate will join the Brain Networks team (BraiNets), a research group at INT in computational neuroscience at the interface of systems neuroscience, cognitive neuroscience, network neuroscience, machine learning, and artificial intelligence. The recruited postdoc will work in close collaboration with Dr. Alain Barrat at the Centre de Physique Théorique (CPT).

This highly interdisciplinary project combines information-theoretic and network-science approaches to investigate the role of brain interactions in goal-directed causal learning, using multi-scale human neurophysiological data (magnetoencephalography, MEG, and intracranial stereo-electroencephalography, SEEG).

What We’re Looking For

• PhD in Cognitive and/or Computational Neuroscience, or in Physics, Computer Science, or Mathematics with a strong motivation to transition into neuroscience

• Research experience with neural data (e.g., EEG, MEG, ECoG, LFPs) is highly valued

• Knowledge of neural mechanisms and computational models of learning and decision-making is welcome

• Expertise in information theory, signal processing, or network neuroscience is valued

• Proficiency in Python is required

• Excellent scientific communication and collaboration skills; publications in top-tier scientific journals are welcome

Position Details

• Start date: Flexible (ideally before April 2026)

• Duration: 24 months

• Application deadline: November 15, 2025

Application Instructions Please send your application (CV and motivation letter) to Dr. Andrea Brovelli. In addition, arrange for two letters of recommendation to be sent by your supervisors.