Post-doctoral Fellow (HKU Stone Centre on Socio-Economic Inequality in Asia)
Join a leading research centre at the University of Hong Kong to study socio-economic inequality using advanced data analysis and causal inference.
Best for:Best for researchers with a PhD in economics or related fields, strong causal inference skills, and experience in large-scale data analysis and text mining.
Overview
The James M. and Cathleen D. Stone Centre on Socio-Economic Inequality in Asia at the University of Hong Kong invites applications for a Post-doctoral Fellow. This position focuses on the comparative study of income and wealth inequality across Asia, North America, and Europe. The successful candidate will employ rigorous quantitative methods, including causal inference and large-scale data analysis, to investigate the causes and consequences of inequality. The fellow will work under the guidance of the Centre's leadership team and contribute to both independent research and collaborative projects. This is a temporary, full-time appointment offering opportunities for high-impact publication and professional development.
What you'll do
- Conduct rigorous quantitative and qualitative research on socio-economic inequality.
- Develop and apply causal inference methods to large-scale datasets.
- Utilize advanced text analysis, web crawling, and large language models for data extraction.
- Prepare and submit research manuscripts to high-impact academic journals.
- Present research findings at international conferences and academic institutions.
- Assist team leaders with project management and strategic planning for the Centre.
- Participate in the daily operations and collaborative activities of the research team.
Requirements
Degree required: PhD in Economics or a related discipline
Language: Proficiency in written and spoken English is required.
Instruction: English
Publications: Not specified, but expected to contribute to high-impact academic journals.
- Strong background in labor economics, trade, development, or political economy.
- Proven experience in working with large-scale, unstructured datasets.
- Expertise in causal inference methodologies.
- Proficiency in web crawling and text analysis techniques.
- Experience with large language models for research applications.
- Ability to work both independently and collaboratively in a team environment.
Funding & terms
How to apply
Deadline: 2027-01-15 · open until filled
Interested candidates should submit their application through the official university portal. Ensure all required documents are prepared according to the university's guidelines. Inquiries regarding the position can be directed to the provided email address.
- CV
- Cover letter
- Research statement
Contact
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