Generative Ai-enabled Vehicular Networks

il y a 2 semaines


Paris, Île-de-France Universite de Versailles Ecole d'ingénieurs - Campus de Paris Temps plein
**Generative AI-enabled Vehicular Networks**:

- Réf **ABG-124666**
- Sujet de Thèse- 18/06/2024- Financement public/privé- Universite de Versailles/ Ecole d'ingénieurs - Campus de Paris- Lieu de travail- Paris - Ile-de-France - France- Intitulé du sujet- Generative AI-enabled Vehicular Networks- Champs scientifiques- Télécommunications
- Mots clés- IA, 6G, V2X**Description du sujet**:
**Prise de fonction**:

- 09/09/2024**Nature du financement**:

- Financement public/privé**Précisions sur le financement**:
**Présentation établissement et labo d'accueil**:

- Universite de Versailles/ Ecole d'ingénieurs - Campus de ParisCette thèse est en collaboration entre Meourane DEBBAH de CentralSupelec; Naila BOUCHEMAL du laboratoire LyRIDS de l'ECE - Ecole d'ingénieurs - Campus de Paris et Sondes.KALLEL de l'équipe NGN au sein du laboratoire DAVID.

Le profil recherché doit être à la fois en réseau mobiles nouvelles généra1on 5G et au-delà mais également avec une maîtrise de l'outil de simula1on Matlab, des méthodes IA et des compétences en Docker pour appliquer les résultats de la thèse sur la plateforme OAI 5G dont dispose l'équipe NGN. Un très bon niveau parlé et écrit en anglais est exigé.
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