Advancing Fundamentals of Semantic & Goal-Oriented Communications & Machine Learning for 6G Networks H/F

Beschreibung:

Description du poste

Domaine

Composants et équipements électroniques

Contrat

CDD

Intitulé de l'offre

Advancing Fundamentals of Semantic & Goal-Oriented Communications & Machine Learning for 6G Networks H/F

Statut du poste

Cadre

Durée du contrat (en mois)

36 mois

Description de l'offre

We invite applications for a (up to) 3 years research position focused on advancing the fundamentals of semantic and goal-oriented communications within next-generation networks, such as 6G. The successful candidate will work on cutting-edge topics that lie at the intersection of communication theory, machine learning, and artificial intelligence, aimed at reshaping the way data and information are transmitted, processed, and understood by network systems and intelligent agents.
Key Responsibilities:
* Conduct fundamental research in semantic and goal-oriented communications, focusing on how meaning and context can be incorporated into communication systems, beyond traditional data transmission models.
* Explore goal-oriented communication paradigms, where the effectiveness of transmitted information is measured by its contribution to a specific task or objective.
* Develop new AI-driven models that integrate the understanding of context, relevance, and intent in network communication.
* Investigate the efficiency, sustainability and reliability of data transmission, focusing on selective information sharing and minimizing redundancy in large-scale, distributed networks.
* Study the theoretical and algorithmic design principles of domain transferability-based general optimization policies and their adaptation to pragmatic, goal-oriented policies.
* Collaborate with interdisciplinary teams to apply semantic and goal-oriented communication theories in real-world scenarios such as autonomous systems, IoT, and intelligent infrastructure.
* Publish research outcomes in leading journals and conferences, and contribute to the scientific community through workshops and presentations.
* As part of this study, the candidate will interact with people in the department who will provide inputs to enrich the study (e.g., realistic channel or antenna models, energy consumption models, etc.).

Profil du candidat

· Ph.D. in Electrical Engineering, Computer Science, Telecommunications, or a related field.
· Strong background in communication theory, information theory, machine learning, or artificial intelligence.
· Experience with next-generation communication systems (e.g., 5G/6G), including network architecture, protocols, and AI-driven network management.
· Proven research track record demonstrated by high-quality publications.
· Excellent programming skills (e.g., Python, MATLAB) and familiarity with machine learning frameworks.
· Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.
· Excellent English communication skills, both written and verbal.
· Experience on an NS-3 network simulator and mastery of C and C++ languages is a plus.

Localisation du poste

Site

Grenoble

Localisation du poste

France, Auvergne-Rhône-Alpes, Isère (38)

Ville

Grenoble

Critères candidat

Langues

Anglais (Intermédiaire)

Formation recommandée

Bac +5

Demandeur

Disponibilité du poste

03/03/2025