Learning and Cognition: Biological and Machine Learning-Based Approaches M/F

CNRS Sciences humaines & sociales

  • Tenure Track Position

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

CNRS Sciences humaines & sociales

Contract Type

Tenure Track Position

Working hHours

Full Time

Remuneration

Annual salary from 54 600 Euros to 57 800 Euros depending on professionnal experience.

Apply Application Deadline : 02 September 2026 17:00

Job Description

Summary of the scientific project

At the interface between human sciences and computer science, the CPJ APPCO seeks to combine computational modeling, behavioral experimentation, and conceptual analysis in analytic philosophy and the sciences (cognitive sciences, biology): specifically, the cognitive foundations and computational models. The goal is to model cognitive capacities (causal reasoning, spatial, numerical, and social cognition, as well as communicative and linguistic abilities) under ecologically realistic conditions, in order to test whether biological a priori knowledge is necessary for their emergence.
The question of modular versus generic architectures is central here: which organizational structure best supports generalization, learning, and transfer? Socially interactive agents would serve as a relevant evaluation tool, given that human cognition is deeply tied to social interactions.

Summary of the teaching project

Teaching will be discussed according to the site which the successful candidate is assigned to. He/She will be involved in teaching on existing courses at each site.

Potential host facilities

  • INSHS - CNRS Sciences humaines & sociales
  • ISIR - Institut des Systèmes Intelligents et de Robotique
  • IJN - Institut Jean-Nicod

Your Profil

Profile Required

Holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific qualifications or carried out scientific work deemed to be of an equivalent level.There is no restriction on the age or nationality of applicants. All CNRS positions are accessible to people with disabilities, with special arrangements for tests made necessary by the nature of the disability

Your Work Environment

Host Lab Strategy

The Institut Jean Nicod is a Human and Social Sciences laboratory specialising in the philos-ophy of mind and cognitive science. Hosting such a CPJ could present a valuable opportunity to develop research in the field of AI modelling. The laboratory's well-established foundation in long-standing empirical-based research, fostering a conducive environment for interdiscipli-nary research and innovation, would be a significant asset for the CPJ holder. The ISIR is a laboratory in informatics, holding significant pertinence across a wide range of application are-as, particularly with regard to the emerging applications of robotics and intelligent systems in the life sciences. Their researchs are characterised by a close interdisciplinary approach, drawing on cognitive science and neuroscience. A particular focus is placed on the establish-ment of synergies with engineering and information science, with the objective of advancing the cognitive and interactive capabilities of robots.

Institution Strategy

One distinguishes at least two visions of learning. Living organisms possess a priori knowledge that structures their cognition. This knowledge then enables them to express meta-representational capacities such as metacognition, self-awareness, and social cognition. Modern AI architectures, on the other hand, appear to acquire significant cognitive abilities without these initial building blocks, relying instead on massive datasets.
Comparing biological and artificial learning could shed light on the nature of cognitive capacities and their emergence, the role of initial “cognitive building blocks”, and the specificities of artificial learning systems. In other words, understanding how human cognitive capacities articulate with the biological mechanisms that underlie them —and how artificial intelligence systems either illuminate or challenge existing models— is the central ambition of this CPJ APPCO. This chair sits at the convergence of three fields: computer science and AI, life sciences (biology, neuroscience), and the philosophy of mind and cognitive sciences.
The focus on the interplay between these two dimensions places this CPJ at the core of two cross-cutting challenges of the CNRS-State COMP 2024–2028: the “Brain” challenge and the “Generative AI for Science” challenge, as well as within the scientific priority “Experiments, Simulations, and Modeling in the Age of Artificial Intelligence” under the “Digital” field. Positioning this chair at the interface between the CNRS Institute of Computer Science and the CNRS Institute of Humanities & Social Sciences would foster interdisciplinary collaboration around a complex scientific object—cognition—which requires cross-disciplinary approaches between computer science, neuroscience, and human sciences. Thus, this CPJ would help structure a key disciplinary interface between artificial and human intelligences.

International Strategy

The Chair holder will be expected to implement actions and set up partnerships in the given thematic field and particularly to commit to submitting a project in the framework of European calls for proposals like ERC, Horizon Europe Consortium, etc. during the 5 years of his/her contract.

Compensation and benefits

Compensation

Annual salary from 54 600 Euros to 57 800 Euros depending on professionnal experience.

Total funding

200k€

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

Research Policy

Open Science

The CNRS is developing a strong policy in favor of open science. Open science consists of making research results "as accessible as possible and closed as necessary". As such, the CNRS aims to make 100% of the texts of publications resulting from the work of its laboratories accessible , in particular through deposit in HAL. The data produced must also be made available and reusable, except for specific restrictions. In addition, the guiding principles of individual evaluation have been revised in accordance with the DORA declaration, to be more qualitative and to take into account all facets of the researcher's profession.

Science and society

The relationship between science and society is now recognized as a full dimension of scientific activity. The project will develop this dimension in synergy with all the partners. The resulting research work will contribute to informing public decision-making. Participatory science initiatives may be initiated with actors from the project’s socio-economic and cultural eco-system.

Scientific dissemination

The dissemination of the results will be done through world-class scientific productions: publications, patents, software... In addition, the results will be communicated to various targets such as scientific communities, media, decision makers, general public, schools, etc., with an adapted calendar. Specific tools may be developed such as websites, newsletters, meetings, international symposia, summer schools and conferences.

About the offer

Offer reference CPJ-2026-023
CN Section(s) / Research Area Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions

Create your alert

Don't miss any opportunity to find the job that's right for you. Register for free and receive new vacancies directly in your mailbox.

Create your alert

Learning and Cognition: Biological and Machine Learning-Based Approaches M/F

Tenure Track Position

You might also be interested in these offers!

    All Offers