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Why Join A2HD

  • Clear research identity: a focused agenda around adaptive AI, human dynamics, and real-world deployment
  • Publication-oriented culture: research aimed at strong journals and conferences in AI, data science, ubiquitous computing, and information systems
  • Funded research directions: active projects across generative AI, privacy-preserving analytics, knowledge graphs, transportation, and intelligent services
  • Real-world resources: access to computing infrastructure and application-driven datasets
  • Close mentorship: a growing lab where students and fellows can help shape new directions from an early stage

Selected Strengths

  • Research published in venues such as ACM TOIS, IEEE TMC, IEEE TKDE, WWW, and IEEE INFOCOM
  • Best Paper Awards at IEEE INFOCOM and ICNP
  • Interdisciplinary environment within Lingnan University’s School of Data Science

PhD Opportunities

We are recruiting self-motivated research postgraduate students who want to work on human-centered AI, adaptive large language models, and intelligent systems for real-world applications.

What We Look For

Successful applicants typically have:

  • A strong bachelor’s and/or master’s background in Computer Science, Data Science, Artificial Intelligence, Statistics, or related areas
  • Solid programming and implementation ability
  • Research potential shown through thesis work, publications, internships, competitions, or substantial projects
  • Strong motivation for long-term research and scientific writing
  • Good written and spoken English; TOEFL/IELTS is required for non-native speakers when applicable

What You Can Expect

  • Close supervision in a focused and growing research group
  • Training for publication-oriented research
  • Opportunities to work on both foundational and applied AI problems
  • Access to computing resources and application-driven datasets
  • An interdisciplinary environment connected to Lingnan University’s School of Data Science

How to Apply

Please email the following materials to jiaxingshen@LN.edu.hk:

  1. A CV highlighting relevant coursework, research experience, and technical skills
  2. Academic transcripts for all degree programs, with class ranking if available
  3. A one-page research statement describing your interests and fit with A2HD
  4. Representative publications, thesis chapters, or writing samples, if available

It is helpful if your email also includes:

  • the subject line “RPG Application – Your Name – Research Area”
  • a short paragraph explaining why you are interested in A2HD

After an initial discussion, shortlisted candidates may be invited to proceed with the formal university application.

A Good Fit for This Position

You may be a strong fit if you enjoy:

  • building systems instead of only running benchmarks
  • connecting machine learning with real-world human and domain problems
  • working across models, data, evaluation, and deployment questions
  • turning research ideas into publishable, well-executed work

Postdoc Opportunities

  1. Research-focused environment
    This position offers the opportunity to pursue ambitious research in a well-resourced academic setting, with strong support for publication-oriented work and limited administrative burden.

  2. Computational resources
    • Access to high-performance computing infrastructure, including at least 8 NVIDIA H100 NVL 94GB GPUs, to support large-scale machine learning and data-intensive research
  3. Data resources
    • Mobility datasets for transportation and movement-pattern research
    • Automotive repair datasets for predictive maintenance and related applications
    • Multi-domain datasets supporting interdisciplinary research
  4. Compensation
    • Competitive remuneration commensurate with qualifications and experience