AI-Native 6G PhD Researcher – Fully Funded

Queen Mary University of London (QMUL) – School of Electronic Engineering and Computer Science; Greater London; On-site; GBP 21,000 - 25,000; Full time

Job summary

Queen Mary University of London is seeking a highly motivated PhD candidate to join a cutting-edge project on AI-native Cross‑Layer Resource Allocation for Intelligent 6G Networks. This fully funded doctoral opportunity offers access to world-class researchers and state-of-the-art facilities.

The research focuses on HMARL, predictive network intelligence, and data-driven optimization to advance wireless communications and AI-driven network systems.

Qualifications

• Strong academic background with potential for high-quality research.
• Knowledge of wireless communications, mobile networks, or RAN technologies.
• Understanding of ML, AI, or RL concepts.
• Programming experience in Python, MATLAB, C++, or similar.

Responsibilities

• Conduct original doctoral research in AI-native wireless network architectures and intelligent 6G systems.
• Design and develop ML/RL algorithms for radio resource management.
• Investigate HMARL approaches for autonomous RAN optimization.
• Develop predictive traffic forecasting and mobility modeling techniques.
• Perform cross-layer optimization across radio, network, and service layers.
• Design simulation frameworks and evaluate proposed 6G solutions.
• Analyze large-scale wireless network datasets for data-driven decision making.
• Publish findings in journals and conferences.
• Present outcomes at academic, industry, and scientific forums.
• Collaborate with supervisors and research teams on AI and telecommunications initiatives.

Skills

Python

MATLAB

C++

Reinforcement Learning

Machine Learning

Wireless Communications

Education

Bachelor’s degree

Master’s degree

Tools

Python

MATLAB

C++

Job description

Queen Mary University of London is seeking a highly motivated PhD candidate to join a cutting-edge project on AI-native Cross‑Layer Resource Allocation for Intelligent 6G Networks. This fully funded doctoral opportunity offers access to world-class researchers and state-of-the-art facilities.

The research focuses on HMARL, predictive network intelligence, and data-driven optimization to advance wireless communications and AI-driven network systems.