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Lever • Bordeaux

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Description de poste

Contexte et atouts du poste

Inria is the French national research institute for digital science and technology. World-class research, technological innovation and entrepreneurial risk are its DNA. As a technological institute, Inria supports the diversity of innovation pathways: from open source software publishing to the creation of technological startups (Deeptech).

Inria has been present in the Nouvelle-Aquitaine region for more than 20 years thanks to the Inria Center at the University of Bordeaux. This center today employs more than 260 people who collaborate through 20 project-teams with 180 people from our academic and industrial partners (universities of Bordeaux, of Bordeaux-Montaigne, and of Pau-et-Pays-de-l'Adour, Bordeaux INP, ENSTA Paris, CNRS, Inserm, INRAE, TotalEnergies and Naval Group).

One of the three main thrusts of its scientific strategy is "Machine learning and AI", developed in a unique way in Bordeaux in conjunction with cognitive science, as exemplified by the FLOWERS project team led by Pierre-Yves Oudeyer. FLOWERS aims to develop the foundations for a new approach of AI and autonomous learning based on the modeling of learning and cognitive development in children, in particular the mechanisms of curiosity. This new approach to human-inspired AI naturally finds its ideal application in technologies for cognition and human performance. Working closely with the University of Waterloo on this application area, the international associate team called CuriousTECH was created in January 2023.

Every year Inria International Relations Department has a few postdoctoral positions available to support Inria international collaborations. The postdoctoral contract will have a duration of 12 to 24 months. The default start date is November 1st, 2025 and not later than January 1st, 2026.

The postdoctoral fellow will contribute to the CuriousTech collaborative project between Inria and Univ. Waterloo and be recruited by the Inria Centre of the University of Bordeaux in dialog with the University of Waterloo (Canada) (please note that the postdoctoral fellow has to start his/her contract being in France and that the visits have to respect Inria rules for missions).

Mission confiée

Scientific project

Digital learning technologies, especially Intelligent Tutoring systems (IST) offer great opportunities for personalizing sequences of training exercises, which can enable more efficient learning and higher motivation for diverse profiles of human learners. Recently, in the KidLearn project, the Flowers team developed a personalization algorithm based on computational models of curiosity-driven learning in children, which was tested in a large scale experiment where 500 children aged 7-8 used a tablet-based educational app to learn various mathematical concepts. The algorithm, leveraging multi-armed bandit techniques and a cognitive model of intrinsic motivation, personalized adaptively for each student the sequence of exercises through sequential tuning of hierarchical parameters.

This postdoc aims at studying whether and how this proof of concept of the cognitive and motivational learning impact of such an algorithm could be adapted and scaled up to a different domain, i.e., attention mechanisms.

Compétences

Technical skills and level required:

• Good skills in programming languages such as Python and Javascript

Languages: English (French is welcome too!)

Relational skills: Motivation to work on a project that combines machine learning, cognitive sciences and user-experience studies

Rémunération

2927€ / month (before taxes)