The project investigates how interpersonal factors shape the verbal and nonverbal display of personality in both humans and embodied conversational agents. The position involves collecting and analyzing a corpus of multiparty dialogues, building machine learning models, and implementing these models in interactive agents.
Key responsibilities:
Conduct a literature review and maintain state-of-the-art knowledge
Lead the collection, annotation, and dissemination of a multimodal corpus
Analyze the influence of psychological, linguistic, and interpersonal factors on the expression of personality
Develop machine learning models and implement them in embodied agents
Write scientific publications and project reports
Mentor younger scholars (PhD students, master’s students, engineers)
Required qualifications:
PhD in computational linguistics, computer science, cognitive science, or a related field
Strong background in dialogue systems, conversational agents, or multimodal interaction
Experience with machine learning methods
Proven publication record in top venues
Ability to work in a team and manage junior researchers
High proficiency in written and spoken English (French is a plus)
Job details:
Contract: Fixed-term (1 year, renewable)
Location: Inria Paris (France)
Start date: Ideally September 1st, 2025
Application deadline: July 20th, 2025
Applications (CV, cover letter, names and contact information of 3 referees) must be submitted via Jobin (see above for URL)
Questions may be sent to Ms sophie Etling at : [ mailto:sophie.etling@inria.fr | sophie.etling@inria.fr ] .