Research Assistant

Applications are invited for a Research Assistant position in the School of Governance and Policy Science to assist with research projects analysing Chinese politics and political economy with computational techniques.

Applicants should have (i) a Bachelor's degree in Computational Social Science, Data Science, Political Science, Public Administration, Economics, Sociology or relevant disciplines, preferably a Master%27s degree (ii) strong programming skills in R and/or Python and experience with Data Annotation, Textual Analysis, Machine Learning, and Large Language Models (iii) understanding of the Chinese government and policy systems (iv) a good command of written and spoken English and Chinese (v) the ability to work independently and collaboratively and (vi) strong academic and research capabilities, particularly in data analysis, paper writing, and project coordination. Familiarity with ML model training and LLM application is a plus.

While technical knowledge is expected, we value independent thinkers who can contribute original ideas and help execute research plans. The appointee will be responsible for (a) assisting with data annotation for large-scale government documents (b) assisting with training machine learning models for text classification (c) conducting qualitative and quantitative data analyses (d) contributing to manuscript and grant drafting and (e) performing other research-related tasks as assigned.

Appointment will initially be made on contract basis for one year commencing as soon as possible, renewable subject to good performance, mutual agreement and funding availability.

Applicants should submit the following documents in the online application: (1) a cover letter (2) a detailed CV highlighting research experience, academic achievements, and technical training and (3) the names and contact information of two referees.

For more information, please contact Professor ZHAN Jing, Vivian () or Dr. CHEN Dakeng ().

The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit .