L3, M1, M2

Laboratoire de Sciences Cognitives et Psycholinguistique


Bâtiment Jaurès
29 rue d'Ulm
75005 Paris, FRANCE

Cognitive machine learning
Embodied Conversational Agents
Length of internship
L3, M1 3-month or M2 6-month Internships
French or English

The role of Rapport in Interaction: Multi-modal modeling of conversation, via conversational analysis, neuroimaging, and machine learning models, with the goal of improving  performance in conversational agent-mediated interactions

Type: L3, M1 3-month or M2 6-month Internships

Periode: internships available all year

Location: Inria Paris, 2 rue Simone Iff, 75012 Paris

Thèmes: Multiple internships available including Linguistic Pragmatics, Conversational Analysis, Social Cognitive Neuroscience and Embodied Conversational Agents

Language: French or English Rénumeration: GR (= Gratification Réglementaire) 

This project exists at the intersection of Cognitive Science and Artificial Intelligence and therefore has dual goals: to better understand the role of rapport (connivence) in human-human interaction and to build better embodied conversational agents (ECAs) that have the ability to engage their users in both social and task talk, where the social talk has been demonstrated to improve task performance. In order to achieve this objective, members of the lab collect and annotate natural conversational data, collect and analyze neuroimaging (hyperscanning via fNIRS) data, implement machine learning models of human-human conversation, integrate the models into Embodied Conversational Agents, and then evaluate their performance. We have internships available for students from Cognitive Science, Psychology, Neuroscience, Linguistics and Computer Science (only some of the positions require programming experience).

Specifically, we currently have a number of open positions for L2 or L3 interns (part-time), M1 interns (3 months) or M2 interns (6 months), as follows: annotate conversational data for linguistic phenomena and analyze the resultant annotations; assist in the collection of neuroimaging data in an ongoing study of dyadic collaboration in children; and build machine learning models of conversational phenomena.

Applicants should have relevant experience with one or several of the following: linguistics, psychology, cognitive science, cognitive/social neuroscience, functional neuroimaging, research with children. Knowledge of statistics and/or programming languages such as Python are a plus.  Fluent English speakers with a French level of at least B1, and fluent French speakers with an English level of at least B1 are particularly invited to apply 

To apply contact: justine.cassell@inria.fr and jade.jenkins@inria.fr