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Post-Doctoral Research Visit F/M Postdoctoral Position - Neural correlates of social interaction and

Inria
Paris
Contexte et atouts du poste

Social interaction among children is crucial for the proper development of social and cognitive skills, as well as for proper brain development. However, the topic of how children acquire the ability to form social bonds with their peers remains understudied and therefore poorly understood. One possibility for exploring this question is to simultaneously measure the brain activity of two children during social interaction, a technique that is called hyperscanning. The inter-brain synchrony data elicited in this way can then be related to data on children's embodied interaction with one another, data on the strength of their social bonds, and data on their performance on a collaborative task. Playing a key role in the collection and analysis of data for this study will be the job of the research engineer and/or postdoc hired for this position.

Mission confiée

The Post-Doc chosen for this project should have a broad range of skills including at least several of the following:

Development of experimental methodologies that allow the rigorous collection of hyperscanning data.

Hands-on management of hyperscanning experiments, including the use of PsychoPy and lab recorder software to develop triggers to allow alignment of the different kinds of data (language, nonverbal behavior, inter-brain synchrony).

Knowledge of hyperscanning technologies, particularly functional Near-InfraRed Spectroscopy (fNIRS). Familiarity with the NIRx system is a plus.

Analysis of hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc..

Use of MatLab for pre-processing, and experience in programming in Python and use of relevant architectures, software, and libraries, such as HyPyP - used for analyzing random pairs and therefore IBS.

The successful candidate must be able work in a multi-disciplinary team to conduct hyperscanning experiments with adults and children, and work team to analyzethe multimodal resultant data, and as well as to collaborate to write-up results for presentations and publications.

Principales activités

  • Design scientific tasks
  • Carry out experiments
  • Analyze their results
  • Apply results to understanding of social cognition in middle childhood
  • Participate in writing-up and publishing results
Compétences

Technical skills and level required: Solid knowledge of hyperscanning, background in neuroimaging techniques (e.g. fNIRS, EEG), and competence in programming in Python, with machine learning experience. Experience with NIRx Aurora and Hyperscan software is a plus.

Languages: French, English

Relationship skills:
  • Ability to work in a team, and collaborate with others from different disciplines and backgrounds.
  • Ability to work independently.
  • Ability to manage other team members.
  • Theoretical background in one or several of the following fields is required: cognitive science, linguistics, sociolinguistics, psychology, computer science, computational neuroscience.
Avantages

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage
Publié le 2026-01-09

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