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

The project investigates how interpersonal factors shape the verbal and
non verbal 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 June 1, 2025
Application deadline: May 31, 2025
Application platform: Apply via Inria website or by email at
    sophie.etling@inria.fr

To apply, please send:
-   A cover letter describing your relevant experience
-   A CV
-   Names and contact information for 3 referees (Please note: we will
    not accept any letters of recommendation sent by the candidate. You
    must send only the contact details for your referees.)

We warmly encourage applications from candidates of all backgrounds,
especially those with interdisciplinary experience.