Recruitment
I have several Postdoc, Ph.D. student and research assistant positions available. Students with backgrounds in data science, computer science, operations research, transportation, geography, or related fields are welcome to apply. Applicants with C9 or QS Top-100 undergraduate degrees and GPA above 85/100 are preferred. A qualifying English test score is required (e.g., TOEFL >= 79 or IELTS >= 6.5). To apply, please send your CV, Transcript, and Research Statement to Songhua.Hu@cityu.edu.hk.
Ph.D. Funding Options:
- Self-funded Ph.D.
- Regular Ph.D. Scholarship: Full doctoral scholarship (~HK$19,600/month).
- Presidential PhD Scholarship: Requirements: 985 or QS Top-100 undergraduate (C9 preferred); master’s degree and overseas experience preferred; first-authored SCI publication preferred.
- Hong Kong PhD Fellowship Scheme (HKPFS): Monthly stipend up to HK$27,100, plus tuition waiver and conference travel allowance. Requirements: 985 or QS Top-100 undergraduate (C9 preferred); master’s degree and overseas experience preferred; first-authored SCI publication preferred.
- Joint Ph.D. Program: Earn dual degrees from a mainland university and CityU. Scholarship provided. C9 preferred.
我是香港城市大学（世界排名：U.S. News 54, QS 63）ACE学院助理教授，目前有数名博士生/博士后/研究助理名额。 欢迎数据科学、计算机、运筹学、交通、地理等相关背景的学生申请（985或QS前100本科、GPA 85+优先）。 需具有符合条件的英语成绩（如托福 >= 79或雅思 >= 6.5）。 申请方式：请将CV+成绩单+研究计划（可选）发送至Songhua.Hu@cityu.edu.hk.
博士奖学金类型：
- 自费博士生
- 常规入学博士生：提供全额博士奖学金（约19,600港元/月）。
- 校长奖学金：要求985或QS前100本科（C9优先）；有硕士学位和留学经历优先；一作SCI发表优先。
- 香港政府博士奖学金 (HKPFS)：要求985或QS前100本科（C9优先）；有硕士学位和留学经历优先；一作SCI发表优先（约27,100港元/月）。
- 联合培养博士：可同时获得内地高校和香港城市大学双博士学位，学校提供研究生奖学金。C9优先。
Collaboration
We are particularly looking for students or collaborators with expertise in LLM, Network Science, or Large-scale Agent-based Modeling (ABM). We offer:
- Rich and diverse data resources
- Ample large-scale computing infrastructure
- Long-term collaboration channels with top teams (e.g., MIT)
- Research designs targeting high-impact journals with deep involvement
课题组长期寻找具有LLM、网络科学 (Network Science)、大规模智能体仿真 (Large-scale ABM)相关背景的同学或合作伙伴。我们可提供：
- 极其丰富的数据资源
- 充足的大规模计算资源
- 与MIT等顶级团队的长期合作通道
- 面向子刊的研究设计与深度参与