Thèse : Deep Learning for The Next Generation of
Il y a 4 mois
L’Institut pour la Transition Energétique (ITE) VEDECOM est un institut français de recherche et de formation dédié aux mobilités innovantes et durables, à travers trois axes de R&D multidisciplinaire : l’électrification, le véhicule automatisé et connecté, les nouvelles solutions de mobilité et d’énergies partagées.
Intégré dans le programme d'innovation "France 2030", l’Institut contribue également activement à de nombreux projets de recherche européens.
Constitué de chercheurs, d'ingénieurs, de responsables d’études, de doctorants,..., VEDECOM compte 80 collaborateurs qui ont à cœur de répondre aux problématiques de mobilité de demain.
**Description du sujet**:
**Les futurs véhicules connectés autonomes (ACV)** **sont équipés de plus de 200 capteurs et dispositifs coopératifs connectés dans un réseau véhiculaire pour collecter d'informations via des communications véhiculaires (V2X).**
Ces systèmes coopératifs incluent des antennes MIMO, de larges bandes passantes et un degré plus élevé de variation temporelle, ce qui peut entraîner une dégradation significative des performances. De plus, l'exploitation d'algorithmes d'intelligence artificielle (IA) dans la couche PHY du réseau cellulaire de 6eme génération (6G) peut répondre à ces limitations tout en offrant des performances à haut débit avec une faible latence.
Également, la nouvelle génération de réseaux cellulaires (6G) va exploiter de nouvelles bandes de fréquences comme les ondes millimétriques, ce qui fait émerger de nouveaux usages comme la vidéo et la transmission sémantique.
Cependant, ces cas d'utilisation peuvent nécessiter des allocations de ressources appropriées pour éviter les interférences entre les paquets transmis.
***Dans ce contexte, **la thèse portera sur les défis de recherche suivants**:
Exploitation de l'IA dans la couche PHY-6G (estimation et détection) dans un environnement de véhicule autonome connecté.
Allocation des ressources PHY-6G et prédiction de la beamforming en utilisant de données d'ondes millimétriques réelles pour les communications véhiculaires.
**Formation / compétences**:
- Diplômé(e) d'une école d'ingénieur ou d'un Master 2 en génie des télécommunications, en intelligence artificielle ou dans un domaine connexe
**Requis**:
- Solide connaissance des technologies d'accès radio telles que MIMO, OFDM, couches physiques et/ou couches MAC
- Expérience dans les algorithmes et les outils d'intelligence artificielle et d'apprentissage automatique (AI/ML).
- Compétence pratique en Python, C++ et MATLAB
- Excellente compétence en communication et en rédaction (Français et anglais).
- La connaissance des normes 3GPP est un plus.
**Savoir-être**:
- Curieux avec un esprit d’initiative
- Dynamique et capacité à travailler en équipe
- Bonne capacité d’analyse et de synthèse
- Rigueur, organisation et autonomie
*** **Avantages VEDECOM**: Télétravail, 12 RTT, Restaurant d'entreprise, Mutuelle, CSE
- Ce poste est ouvert aux personnes en situation de handicap._
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