Post-Doctoral Research Visit F/M Postdoctoral Scholar Position in Social Cognition F/M: Neural correlates of social skills in middle childhood

Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

Contexte et atouts du poste

The ArticuLabo research group at Inria Paris is seeking a highly motivated postdoctoral researcher to join a multidisciplinary team developing an exciting and ambitious research program at the intersection of social neuroscience and artificial intelligence. Specificially we are developing ways to use hyperscanning techniques to better understand how children in middle childhood use language and nonverbal behavior to build and manage social relationships with peers. The results inform the design of innovative embodied conversational agents (ECAs) capable of helping children learn. 

Recently, an ever-growing number of neuroimaging studies have shown that specific brain areas, such as the temporo-parietal junction, superior temporal sulcus, and pre-frontal cortex show evidence of synchronization (i.e., inter-brain or neural synchrony) in people who are engaged in joint social interactions This observation results from the use of hyperscanning, a technique that allows the simultaneous recording of several brains

Mission confiée

We’re looking for someone with experience in neuroimaging of social cognition who can contribute meaningfully to this new era of hyperscanning research. Particularly, we are seeking someone who can assist in the design of rigorous naturalistic hyperscanning paradigms which investigate social phenomena such as collaboration, rapport, learning, and performance, and the analysis of the resulting data, preferably using newer machine learning analytic tools. In addition to investigating understudied phenomena of social cognition, these findings will eventually be utilized to improve a virtual peer – a conversational agent that builds bonds with children in the service of learning.

The project will involve investigating the neural mechanisms underlying social cognition in real-time interactions of child peer dyads aged 5-12 years old using fNIRS hyperscanning. The ideal candidate will have experience with fNIRS data acquisition and analysis, as well as strong programming skills in Python and so experience in developmental psychology, cognitive science, learning science, and/or linguistics will be an asset.

Principales activités

The successful candidate will work closely with the principal investigator and other members of the research team to design, supervise and contribute meaningfully to research, conduct experiments, analyze data, and prepare manuscripts for publication in high-impact journals.

Compétences

Qualifications:

  • PhD in neuroscience, psychology, cognitive science, or a related field
  • Experience with neuroscience data
  • Experience in multidisciplinary cognitive science, social cognition in middle childhood, learning science, and/or developmental psychology
  • Experience with scientific experiments involving children
  • Familiarity with or interest in hyperscanning experimental design
  • Strong programming skills preferably in Python and machine learning toolkits
  • Experience with functional neuroimaging (preferably fNIRS and hyperscanning) and/or advanced time-series and/or multimodal data analysis and statistics
  • Experience mentoring trainees and/or project management skills
  • Excellent written and verbal communication in English and organizational skills
  • Ability to work independently and as part of a team

 

Bonus Qualifications:

  • Experience with PsychoPy, MNE, MNE-NIRS, and/or HyPyP
  • Knowledge of French would be a significant plus but is not required
  • Knowledge of machine learning methods to develop innovative methods of analysis
  • Interest in neuro-AI to contribute to the implementation of powerful conversational agents

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 (after 12 months of employment)
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training

Rémunération

The remuneration will be established according to the profile and the experience of the candidate.