Comment mobiliser l'IA pour renforcer les processus d'invention et d'innovation- / Leveraging A[...]

Mines Paris-PSL; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

Une institution de recherche de renom propose une thèse de doctorat sur l'utilisation de l'intelligence artificielle comme un 'exosquelette cognitif' au service des innovateurs. Le candidat bénéficiera d'une supervision étroite et sera intégré dans des équipes académiques et industrielles, avec l'opportunité d'interagir avec un centre de recherche mondial sur l'IA.

Qualifications

• Capacité à travailler sur des projets de recherche en IA.
• Compétences en design théorique, notamment en théorie C-K.
• Capacité à intégrer des connaissances théoriques et pratiques.

Responsabilités

• Explorer le rôle de l'IA dans le processus d'innovation.
• Participer à des comités de pilotage bimensuels.
• Présenter les résultats aux partenaires industriels.

Formation

Doctorat en intelligence artificielle ou domaine connexe

Description du poste

Artificial Intelligence (AI), both in its historical dimension of understanding and constructing human intelligence and in its more recent generative forms, is attracting increasing attention in academic and industrial discussions.

With its democratization and pervasiveness across all sectors of society, AI now opens up major perspectives for transforming invention and innovation processes within organizations (Tekic & Füller, ).

As a generative technology, it can enrich creative practices, structure knowledge, automate certain tasks, or anticipate disruptions.

This PhD project aims to understand how AI can be mobilized as a true “cognitive exoskeleton” serving innovators. It will explore the role of AI across the different phases of the innovation process, from problem structuring to concept evaluation. The objective is also to investigate how AI can contribute to anomaly detection (weak signals, unexpected failures), thereby strengthening organizations' anticipatory capabilities in increasingly dynamic environments.

To do so, this thesis will draw on design theories, particularly those that help understand innovation and creative processes more broadly. It builds on recent research that uses design theory—especially C-K theory (Hatchuel & Weil, )—to analyze the capabilities and implications of AI systems (Bordas et al., ).

Context :

The PhD candidate will benefit from close supervision, with regular meetings with the thesis advisors.

Bimonthly steering committees bringing together academic supervisors and industry supervisors will be established.

The candidate will be fully integrated into the activities of the Centre de Gestion Scientifique and the Bauhaus des Transitions team.

Regular exchanges are also planned with MILA, a world-leading AI research center.

The project will include semi-annual presentations to a network of industrial partners affiliated with the Bauhaus des Transitions.

• References :

Bordas, A., Le Masson, P., Thomas, M., & Weil, B. What is generative in generative artificial intelligence? A design-based perspective. Research in Engineering Design. Hatchuel, A., & Weil, B. C-K design theory : An advanced formulation. Research in Engineering Design, 19, .

Tekic, Z., & Füller, J. Managing innovation in the era of AI. Technology in Society, 73, .

• Funding :

The PhD contract should be funded through a CIFRE agreement, ensuring 3 years of funding by the company Boulanger.

Funding category

Cifre

CIFRE ANRT