PhD Studentship: Deep Generative Diffusion-based Semantic Communication for 6G System
Core
Develop a semantic communication system using deep generative diffusion models to transmit compact latent representations instead of raw data for 6G networks.
Role type
PhD Researcher in AI-Native 6G and Semantic Communication
Builds
End-to-end Joint Source-Channel Coding (JSCC) architectures and validation via software defined radios (SDRs)
Domain
Telecommunications / Wireless Communications / Generative AI
Deliverable
production ML models
Required skills
Deep Learning, Python, Wireless Theory, Signal Processing, Information Theory
Preferred skills
PyTorch, TensorFlow
Technologies
PyTorch, TensorFlow, SDRs
Responsibilities
Design end-to-end JSCC architectures using state-of-the-art AI; implement latent diffusion models for data reconstruction; validate algorithms using software defined radios (SDRs); contribute to tutor activities for laboratory support on BSc and MSc courses.
Seniority
PhD Researcher
