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Engineer F/M : Agent-based cultural evolution simulator software engineer

Inria -
Montbonnot-Saint-Martin (38)

Soumettre votre candidature

Détails de l'emploi

CDD
À partir de 2 692 € par mois

Avantages

Qualifications

Niveau Doctorat
Anglais
Java
Master
Ingénierie informatique
GitHub

Description complète du poste

Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Autre diplôme apprécié : PhD may be relevant (possible post-doctoral requalification)

Fonction : Ingénieur scientifique contractuel

Niveau d'expérience souhaité : Jeune diplômé

A propos du centre ou de la direction fonctionnelle

The Centre Inria de l’Université de Grenoble groups together almost 450 people in 26 research teams and 9 research support departments.

Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.

The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.

Contexte et atouts du poste

Environnement: The work will be carried out in the mOeX team common to INRIA & University Grenoble Alpes within the Laboratoire d'Informatique de Grenoble (UGA - CNRS - INRIA - Grenoble INP).

Group: The work will be carried out in the mOeX team common to INRIA & LIG. mOeX is dedicated to study knowledge evolution through adaptation. It gathers researchers which have taken an active part in the development of the semantic web and more specifically ontology matching and data interlinking.

Place of work: The position is located at INRIA Montbonnot (near Grenoble, France), a main computer science research lab, in a stimulating research environment.

Mission confiée

The mOeX team investigates the cultural evolution of knowledge and beliefs on a computational basis. For that purpose, we design and perform agent-based simulations. The goal of this position (32 months) is to develop and maintain a simulator based on novel models allowing agents to play different games and games to be played by different types of agents using the same knowledge.

Cultural evolution is the application of evolution theory to culture. It has been applied to various aspects of our life in societies: from customs to languages, from boat shapes to company structures [Messoudi, 2011]. In our context, culture is the beliefs and knowledge of agents, that determine their behaviour. Cultural evolution has been the subject of multi-agent simulation [Axelrod, 1997; Steels, 2012; Acerbi et al., 2022]. Artificial cultural evolution, like artificial intelligence for intelligence, aims at considering the general principles and mechanisms governing cultural evolution.

For that purpose, we aim at defining a model of cultural evolution experiments that allows different types of agents to play different types of games. This model will be supported by a simulation environment to test cultural evolution hypotheses and ensure the reproducibility and availability of such experiments. We also seek at promoting this approach towards social scientists interested in cultural evolution.

The recruited candidate will have for main task to develop and maintain an agent-based simulator allowing users to develop their own games and their own agents or to choose from a library of such. It would allow to describe experiment setups involving them that can then be performed and analysed.

The simulator may be a largely reworked version of our Lazy lavender simulator or a completely new design, possibly using an existing basis.

Beyond this core task, the candidate will participate to related tasks such a participating to the definition of the model to be implemented, offering support for analysing and publishing results and promoting the resulting system.

References:

[Acerbi et al., 2022] Alberto Acerbi, Alex Mesoudi, Marco Smolla, Individual-based models of cultural evolution. A step-by-step guide using R, Routledge, London (UK), 2022 https://albertoacerbi.github.io/IBM-cultevo/
[Axelrod, 1997] Robert Axelrod, The dissemination of culture: a model with local convergence and global polarization, Journal of conflict resolution 41:203–226, 1997.
[Mesoudi, 2011] Alex Mesoudi, Cultural evolution: how Darwinian theory can explain human culture and synthesize the social sciences, Chicago university press, Chicago (IL US), 2011 See also: Alex Mesoudi, Andrew Whiten, Kevin Laland, Towards a unfied science of cultural evolution, Behavioral and brain sciences 29(4):329–383, 2006 https://www.alexmesoudi.com/publication/mesoudi-towards-2006/Mesoudi_Whiten_Laland_BBS_2006.pdf
[Steels, 2012] Luc Steels (ed.), Experiments in cultural language evolution, John Benjamins, Amsterdam (NL), 2012

Principales activités

The recruited candidate will have for main tasks to:

develop and maintain an artificial cultural evolution simulator,

but other tasks include:

participating to the definition of the model,
design some support documentation,
integrating support for experiment reproducibility, and
taking part to the ACBE project dissemination effort, in particular through publishing papers.

Compétences

Qualification: Master or equivalent in computer science. The position could be requalified as post-doctoral.

Researched skills:

Programming capabilities (Java, other to be considered)
Ability to work in a team
Attracted by research work
Acquainted to simulation and agent-based simulation
Willingness to tackle new and challenging problems.

Avantages

Subsidized meals
Partial reimbursement of public transport costs
Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
Possibility of teleworking and flexible organization of working hours
Professional equipment available (videoconferencing, loan of computer equipment, etc.)
Social, cultural and sports events and activities
Access to vocational training
Social security coverage under conditions

Rémunération

From 2,692 € (depending on experience and qualifications).

Informations générales

Thème/Domaine : Représentation et traitement des données et des connaissances
Ingénierie logicielle (BAP E)
Ville : Montbonnot
Centre Inria : Centre Inria de l'Université Grenoble Alpes
Date de prise de fonction souhaitée : 2026-10-01
Durée de contrat : 2 ans, 8 mois
Date limite pour postuler : 2026-06-04

Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.

Consignes pour postuler

Applications must be submitted online via the Inria website. Processing of applications submitted via other channels is not guaranteed.

Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

Contacts

Équipe Inria : MOEX
Recruteur :
Euzenat Jerome / [email protected]

L'essentiel pour réussir

We are seeking for someone interested into building an agent-based simulator within a team studying cultural evolution.

Strong computer programming skill is a must. Development will likely be in Java.

Willingness to support research is interested.

Besides computer programmming and maintainance, the jobs may involve more or less of:

helping researchers developing experiments;
involvement in overall design;
documenting, demonstrating and teaching the simulator;
participating in research work and writing papers.

A propos d'Inria

Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eﬀorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data center engineer (montbonnot saint martin, ara)

A propos du centre ou de la direction fonctionnelle

Contexte et atouts du poste

Mission confiée

Principales activités

Compétences

Avantages

Rémunération

Informations générales

Consignes pour postuler

Contacts

L'essentiel pour réussir

A propos d'Inria

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