PhD: Inter-Brain Synchrony & Social Bonds in Aging

CNRS

France

Sur place

EUR 19 000 - 23 000

Plein temps

Il y a 6 jours
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Résumé du poste

CNRS invites applications for a Doctoral Candidate (R1) in Cognitive Neuroscience, hosted by the CNRS Department Cognition, Langues, Langage, Ergonomie. The project investigates ageing effects on inter-brain synchrony during social interaction, using EEG, ECG and fNIRS, in collaboration with UT2J, IRIT and CERPPS.

The PhD candidate will design experiments, recruit participants, collect multi-modal data, and contribute to analysis and dissemination within an interdisciplinary team, with a strong

Qualifications

  • Master's-level training providing an integrative approach to cognitive science.
  • Experience with acquisition and processing of neurophysiological data (EEG).
  • Programming in R and Python; strong statistical analysis skills.
  • Familiarity with literature on human movement science and ageing.

Responsabilités

  • Designing and implementing experiments involving motor and social coordination.
  • Recruiting participants and collecting EEG, ECG, fNIRS and motor data.
  • Monitoring data quality and performing data processing and analysis with collaborators.
  • Interpreting results within an interdisciplinary framework and contributing to publications.

Connaissances

EEG data processing
Python programming
R programming
Statistical analysis
Interdisciplinary research

Formation

Master's-level training in cognitive science

Outils

R
Python
Statistics software

Description du poste

CNRS invites applications for a Doctoral Candidate (R1) in Cognitive Neuroscience, hosted by the CNRS Department Cognition, Langues, Langage, Ergonomie. The project investigates ageing effects on inter-brain synchrony during social interaction, using EEG, ECG and fNIRS, in collaboration with UT2J, IRIT and CERPPS.

The PhD candidate will design experiments, recruit participants, collect multi-modal data, and contribute to analysis and dissemination within an interdisciplinary team, with a strong

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