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全职 6G Network Systems Researcher 工作, 薪水, Starry Recruitment 公司招聘中 - Ricebowl

6G Network Systems Researcher

Starry Recruitment

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

6G Network Systems Researcher

About the Role

We are looking for a 5G/6G Network Systems Researcher to join our research team and develop next-generation networking technologies for Physical AI and Embodied Intelligence.

The role focuses on building intelligent, deterministic, and action-aware network systems that enable seamless connectivity between perception, AI reasoning, and robotic actuation. You will conduct research across network architecture, protocols, resource management, and AI-native networking, with opportunities to contribute to future 5G/6G technologies, publications, patents, and industry standards.


Key Responsibilities

  • Conduct research on 5G/6G network systems for Physical AI and embodied intelligence applications.
  • Design innovative network architectures, protocols, and algorithms for deterministic, reliable, and low-latency communications.
  • Develop techniques for network resource management, scheduling, routing, traffic engineering, and orchestration with QoA/QoS awareness.
  • Design and evaluate intelligent network control frameworks using technologies such as SDN, TSN, O-RAN, and edge computing.
  • Develop software prototypes, simulations, emulation environments, and proof-of-concept systems.
  • Validate research through analytical modelling, simulation, experimentation, and real-world prototyping.
  • Publish research results in leading international conferences and journals and contribute to patent development.
  • Contribute to relevant international standardization activities, including 3GPP, IEEE, IETF, and O-RAN Alliance.
  • Collaborate with researchers, engineers, universities, industry partners, and multidisciplinary teams.


Key Requirements

  • PhD in Computer Science, Electrical Engineering, Computer Engineering, or a closely related field.
  • Strong research background in communication networks, network systems, distributed systems, or related areas.
  • Solid understanding of network architecture, protocols, algorithms, and system design.
  • Demonstrated experience in algorithm development, software engineering, network prototyping, or systems research.
  • Strong analytical and problem-solving capabilities, with the ability to translate research concepts into working prototypes.
  • Track record of publications in reputable international conferences and/or journals.
  • Strong programming skills in Python, C/C++, Go, or similar languages.

Preferred Qualifications

Networking & Systems

  • Deterministic Networking (DetNet) and Time-Sensitive Networking (TSN)
  • Software-Defined Networking (SDN)
  • O-RAN, RIC, and programmable RAN
  • Edge computing and cloud-native networking
  • Network slicing and resource orchestration
  • Network protocol and API design
  • Traffic engineering, routing, and network optimization

Research & Prototyping

  • AI-native networking and intelligent network automation
  • Mathematical optimization and network performance modelling
  • Network simulation/emulation tools such as ns-3, OMNeT++, Mininet, or OpenAirInterface
  • Network digital twins
  • Experimental testbeds and network system prototyping

Domain Expertise

  • 3GPP 5G/6G network architecture and technologies
  • Robotics, teleoperation, embodied intelligence, or Physical AI
  • Ultra-low-latency and deterministic communications
  • Experience contributing to standards or industry initiatives such as 3GPP, IEEE, IETF, or O-RAN Alliance


What You Will Work On

You will have the opportunity to research and prototype next-generation network systems that connect AI agents, sensors, robots, and physical environments, addressing challenges such as deterministic latency, real-time coordination, intelligent resource allocation, and network-aware AI/robotic control.

The role is particularly suited to researchers who want to bridge advanced networking research with real-world Physical AI and embodied intelligence applications.

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