openings

I am recruiting across quantum networking and agentic networking — most positions below are fully funded. More openings are added regularly.

Ph.D. 1 position

Quantum Networking

  • Hong Kong (HKBU)
  • Spring / Fall 2027
  • Fully funded
Apply →
Ph.D. 1 position

Agentic Networking

  • Hong Kong (HKBU)
  • Spring / Fall 2027
  • Fully funded
Apply →
RA 1 position

Quantum Networking

  • Hong Kong (HKBU)
  • Start ASAP
  • Fully funded
Apply →
RA 1 position

Quantum Networking

  • Guangzhou (HKBU × Xidian)
  • Start ASAP
  • Fully funded
Apply →
RA 1 position

Quantum / Agentic Networking

  • Remote
  • Start ASAP
Apply →

More openings coming soon

Additional Ph.D. and RA positions open throughout the year. If none above fit but the research does, reach out anyway.

about the group

We work on the algorithmic foundations of two networks that will shape the next decade — quantum networks that distribute entanglement across distant nodes, and agentic networks of AI/LLM agents — held together by a shared methodology in online learning and sequential decision-making under uncertainty.

Research directions include:

  • Quantum Networkingalgorithms for the future quantum internet

    • Entanglement routing and resource allocation
    • Quantum network tomography, evaluation, and monitoring
    • Quantum-enhanced sequential decision-making and learning
  • Agentic Networkinglearning algorithms for networked AI agents

    • Multi-agent online and reinforcement learning (communication-efficient, heterogeneous, asynchronous)
    • LLM-agent coordination, alignment, and evaluation from interactive feedback
    • Provable guarantees under adversarial or strategic agents
  • Online Learning Foundationsthe methodology underpinning both pillars

    • Robustness to adversarial / corrupted / multi-modal feedback
    • Multi-fidelity and human-in-the-loop learning

Ideal background: strong fundamentals in probability, optimization, or theoretical CS; experience with one of RL/bandits, networking/systems, or quantum information is a plus but not required — what matters most is mathematical maturity and curiosity. RA positions are a good fit if you want to try out research before committing to a Ph.D., build a paper around a concrete project, or strengthen your application for the next admissions cycle.

how to apply

Email me at xuchuangw [@] comp [dot] hkbu [dot] edu [dot] hk with one of the following subject lines:

  • “Application for Ph.D. in [Start Cycle]” — e.g., Application for Ph.D. in Fall 2027
  • “Application for RA ([Remote/Onsite/Guangzhou], [Start Month])” — e.g., Application for RA (Remote, ASAP)

Please include:

  • A short paragraph on your research interests (and which direction above resonates with you)
  • CV
  • Transcripts
  • (Optional) any paper, project, or note you are proud of

I read every inquiry. I apologize in advance if I cannot personally reply to each due to volume — a non-reply is never a rejection of your potential.