Post Doctoral Fellow (Joint Program) - Wang Jingqi Project, School of Management and Economics 博士后（聯(lián)培項(xiàng)目） - 經(jīng)管學(xué)院王競(jìng)奇項(xiàng)目 (Ref.PR2026/140/01)

截止日期: 2026-06-27 經(jīng)管學(xué)院

Project Overview

Project Title: LLM Social Simulations and Inference ?語(yǔ)?模型社會(huì)模擬與推斷

Duration: 2 years (full-time)

Location: CUHK (Hong Kong) and CUHK(SZ) (Shenzhen), with time split across both campuses

 

About the Scheme

The CUHK–CUHK(SZ) Joint Postdoctoral Fellowship Scheme is jointly launched by The Chinese University of Hong Kong (CUHK), The Chinese University of Hong Kong, Shenzhen (CUHK(SZ)), and the Human Resources and Social Security Bureau of Shenzhen Municipality (SZHRSSB). The Scheme seeks to foster cross-border academic collaboration, attract top-tier research talent from around the world, and support the Greater Bay Area’s development as a global innovation hub.

The successful candidate will be appointed as a Postdoctoral Fellow (Honorary) at CUHK and will also register as a Postdoctoral Fellow via CUHK(SZ). The postdoctoral fellow will serve as a full-time staff member at both campuses with access to necessary infrastructure and research facilities. Upon successful completion of the fellowship period, the postdoctoral fellow will receive a postdoctoral certificate from Chinese Mainland and a certificate of postdoctoral experience from CUHK.

 

Co-Principal Investigators

CUHK Co-PI

CUHK(SZ) Co-PI

Prof. Renyu (Philip) Zhang 張任宇

Prof. Jingqi Wang 王競(jìng)奇

Associate Professor

Professor

Department of Decisions, Operations and Technology

Faculty of Business Administration

Information System and Operations Management Area

School of Management and Economics

[email protected]

[email protected]

https://rphilipzhang.github.io/rphilipzhang/

https://myweb.cuhk.edu.cn/wangjingqi

Prof. Zhang’s research studies how AI and data science reshape decision-making on online platforms and marketplaces. His methodological expertise spans generative AI and large language models, causal inference and econometrics, reinforcement learning, and data-driven optimization, with applications to online platforms, marketplaces, social networks, and AI agents. He is also an RGC Research Fellow and a receipient of NSFC Excellent Young Scientist Fund.

Prof. Wang’s research focuses on supply chain management, innovation and technology management, empirical studies in operations management, and AI-enabled business models. He serves as the area head of Information Systems and Operations Management at CUHK(SZ) and has been awarded the Distinguished Young Scientist Fund of Guangdong Province.

 

Key Responsibilities

  • Conduct independent and collaborative research on LLM-based social simulation and inference
  • Prepare and submit research papers to top-tier academic journals (e.g., Management Science, Operations Research, Manufacturing & Service Operations Management) and present at leading international conferences (e.g., INFORMS, MSOM, POMS)
  • Collaborate closely with both Co-PIs across the CUHK and CUHK(SZ) campuses
  • Contribute to the broader intellectual life of both research groups and participate in seminars and workshops

 

Qualifications

Required:

  • A PhD degree (obtained within the past three years or expected before the start date) in Operations Management, Operations Research, Computer Science, Statistics, Economics, or a closely related field
  • Under 35 years of age at the time of appointment
  • Strong research potential with a track record of publications or working papers in relevant areas
  • Solid technical background in one or more of the following: large language models, causal inference, machine learning, econometrics, or computational social science
  • Excellent written and oral communication skills in English

Preferred:

  • Experience with GenAI, LLM, or agent-based simulation
  • Familiarity with experimental design, A/B testing, and empirics
  • Publications or working papers in top-tier journals or conferences in operations management, economics, computer science, or AI
  • Experience with Python, PyTorch, or related ML/AI frameworks

 

Compensation and Benefits

The position offers a highly competitive salary package funded jointly by CUHK, CUHK(SZ), SZHRSSB, and the Guangdong Provincial Government. The total annual compensation is approximately:

Regular PDF ~RMB 525,000 per annum

Guangdong Overseas PDF* ~RMB 615,000 per annum

*PhD graduates from universities ranked within the global top 200 may be eligible for the Guangdong Overseas Postdoctoral Program, which provides an enhanced salary package.

 

How to Apply

Interested candidates are invited to submit the following materials:

  • A detailed curriculum vitae (CV)
  • A research statement describing research interests and how they relate to the project
  • Representative publications or working papers (up to 3)
  • Names and contact information of 2–3 references

Please send application materials to both Co-PIs:

Application Deadline: June 27, 2026

Expected Start Date: July 1, 2026 ~ August 31, 2026

Review of applications will begin immediately and continue until the position is filled. Shortlisted candidates will be invited for an interview.

 

Enquiries

For questions about the research project, please contact either Co-PI directly.