Statistical Modelling of Animal Communication

Il y a 3 mois


Paris e, France CNRS Temps plein

Cette offre est disponible dans les langues suivantes:

- Français
- Anglais

Date Limite Candidature : lundi 28 octobre 2024 23:59:00 heure de Paris

**Informations générales**:
**Intitulé de l'offre **:Modélisation statistique de l'histoire de la communication animale H/F**
Référence : UMR8554-EMMCHE-001
Nombre de Postes : 1
Lieu de travail : PARIS 05
Date de publication : lundi 7 octobre 2024
Type de contrat : CDD Doctorant/Contrat doctoral
Durée du contrat : 36 mois
Date de début de la thèse : 1 novembre 2024
Quotité de travail : Temps complet
Rémunération : La rémunération est d'un minimum de 2135,00 € mensuel
Section(s) CN : Sciences du langage

**Description du sujet de thèse**:
Nous avons actuellement une offre de bourse de doctorat sur les méthodes statistiques pour reconstituer l’histoire de la communication animale. Ce projet se situe à l’interface entre l’apprentissage automatique et la modélisation statistique d’une part, et la linguistique animale d’autre part.

Co-encadrants : Emmanuel Chemla (linguiste à l’ENS Paris) et Robin Ryder (mathématicien à Paris-Dauphine / Imperial College London).

Institution d’accueil : le doctorant sera basé au LSCP, École Normale Supérieure (centre de Paris).

Financement : le financement est fourni par le CNRS 80 Prime et prend la forme d’un contrat de doctorat français standard pour 36 mois (salaire net : environ 1800€/mois). Des fonds supplémentaires sont disponibles pour les déplacements, etc.

Date de début : idéalement novembre 2024, avec une certaine flexibilité.

Résumé du projet : Notre objectif est de comprendre comment le répertoire d’appels des espèces animales étroitement apparentées a évolué au cours de millions d’années. Pour ce faire, nous modélisons plusieurs scénarios évolutifs possibles, soumis à différentes forces, et évaluons leur plausibilité sur la base des données et des connaissances disponibles sur les espèces modernes. L’utilisation d’outils génératifs (simples dans notre cas) nous permettra même d’écouter les répertoires des espèces ancestrales.

**Contexte de travail**:
La thèse s'effectuera en co-direction entre Emmanuel Chemla et Robin Ryder (actuellement à l'étranger).



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