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NTNU in Trondheim invites applications for a PhD Candidate position in AI-driven MAC control for integrated terrestrial-NTN 6G networks. The four-year, 100% employment is fully funded and includes teaching duties.
The project focuses on AI-driven MAC control, self-healing MAC, and service-aware MAC techniques to improve latency, reliability and fairness in combined terrestrial and non-terrestrial networks. The work will be conducted in the IIK department's B5G Lab with OpenFlow/P4 stacks and
NTNU in Trondheim invites applications for a PhD Candidate position in AI-driven MAC control for integrated terrestrial-NTN 6G networks. The four-year, 100% employment is fully funded and includes teaching duties.
The project focuses on AI-driven MAC control, self-healing MAC, and service-aware MAC techniques to improve latency, reliability and fairness in combined terrestrial and non-terrestrial networks. The work will be conducted in the IIK department's B5G Lab with OpenFlow/P4 stacks and