We are seeking a Researcher in 5G/6G Communication Network Systems to conduct research on next-generation communication architectures and network technologies for Physical AI and embodied intelligent systems.
What You'll Work On
You will conduct research on network architectures, algorithms, protocols, and system mechanisms for future intelligent communication networks, including areas such as:
- Action-aware and task-aware network control, translating application and task requirements into communication policies
- Multimodal traffic importance modelling, identifying the relative importance, urgency, and timing requirements of different information flows
- Resource allocation, traffic prioritization, and network scheduling
- Cross-modal temporal coordination, including latency, jitter, synchronization, and inter-stream timing control
- Deterministic and predictable communication for latency-critical cyber-physical systems
- Adaptive reliability mechanisms according to application and task requirements
- Dynamic network resource orchestration across RAN, edge, transport, and computing resources
- Edge networking and intelligent RAN architectures supporting real-time network control and distributed computing
- Network protocol, signalling, and API design for communicating application context and network requirements
- Cross-layer and multi-domain optimization for communication and computing resources
- Experimental implementation and validation using network simulation, emulation, RAN platforms, or end-to-end system testbeds
Your research will contribute to next-generation communication architectures capable of supporting emerging applications such as robotic manipulation, autonomous inspection, immersive interaction, teleoperation, and industrial automation.
Requirements
- PhD in Computer Science, Electrical Engineering, Computer Engineering, Communications Engineering, or a closely related discipline
- Strong research background in one or more of:
- communication and network systems
- mobile and wireless networking
- network resource management
- distributed and edge systems
- network optimization
- 5G/6G network architectures
- Strong ability to formulate research problems and develop algorithms, protocols, or system architectures
- Experience with experimental, simulation, or software-based evaluation of communication and networking mechanisms
- Strong programming and algorithm development skills (e.g., Python, C/C++, or similar)
- Demonstrated publication record in relevant conferences or journals
- Ability to work in a multidisciplinary research environment spanning communications, networking, AI, and intelligent systems
Preferred Qualifications
Experience in one or more of the following areas would be advantageous:
- 5G/6G RAN architecture and resource management
- O-RAN, RAN Intelligent Controllers (RIC), or AI-RAN
- Deterministic networking, URLLC, or Time-Sensitive Networking
- Network scheduling, traffic engineering, and resource optimization
- Edge computing and communication–computation co-optimization
- SDN, programmable networks, or intent-based networking
- AI/ML techniques for network control and optimization
- Network simulation or emulation using tools such as ns-3, OMNeT++, Mininet, or equivalent platforms
- Mathematical optimization, reinforcement learning, or control-theoretic approaches to networking
- Network telemetry and closed-loop network automation
- 3GPP architecture, protocol, or standardization activities
- Knowledge of robotics, cyber-physical systems, teleoperation, Physical AI, embodied intelligence, or multimodal communication will be considered an advantage.