[iva] Postdoctoral Position: Embodied Conversational Agents with Adaptive Personality - Inria, Paris - application deadline: 15 June 2025

[Sophie Etling]

Dear colleagues, 



We are inviting applications for a postdoctoral research position (F/M) at Inria Paris, within the ALMAnaCH project)team, as part of a large international project on adaptive personality in conversational agents led by Justine Cassell. 



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 July 1st, 2025 

Application deadline: June 15th, 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:%20sophie.etling at inria.fr |  sophie.etling at inria.fr ] . 


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