Work on an emerging research topic of Semantic and Task-oriented communications design for 6G networks; Carry out research in the predefined areas; Disseminate results through scientific publications in the top-tier venues; Present results in top-tier international conferences and workshops
Requirements:
The candidate should possess a Master degree in Electrical Engineering, Computer Science, or equivalence; Background in one of some topics in wireless communications: multiuser system, resource allocation, scheduling; Optimization techniques and tools: convex optimization, successive convex approximation, stochastic gradient decent; Experience in machine learning (both theory and application) and/or multiagent reinforcement learning is an asset
Text:
PhD candidate in Semantic and Task-Oriented Communication Design for 6G Cyber-Physical Systems Work on an emerging research topic of Semantic and Task-oriented communications design for 6G networks; Carry out research in the predefined areas; Disseminate results through scientific publications in the top-tier venues; Present results in top-tier international conferences and workshops The candidate should possess a Master degree in Electrical Engineering, Computer Science, or equivalence; Background in one of some topics in wireless communications: multiuser system, resource allocation, scheduling; Optimization techniques and tools: convex optimization, successive convex approximation, stochastic gradient decent; Experience in machine learning (both theory and application) and/or multiagent reinforcement learning is an asset
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