Postdoctoral Fellow — AI-Driven Social Surveys

University of Hong Kong

Hong Kong

On-site

HKD 420,000 - 540,000

Full time

4 days ago
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Benefits offered by this job

Annual leave
Medical benefits
Competitive salary

Job summary

University of Hong Kong invites applications for a Post-doctoral Fellow in the Department of Sociology. The role collaborates with Professor Lai Wei on AI-enabled social surveys, instrument design, and data analysis.

Applicants should hold a PhD in sociology or related fields, demonstrate strong quantitative and coding skills, and have excellent English. The position runs for one year with renewal possible based on performance and funding.

Qualifications

  • PhD in sociology, demography, statistics or related field.
  • Strong interest in AI and social surveys.
  • Quantitative skills and experience with coding and statistics.
  • Experience with LLM APIs is desirable.
  • Knowledge of causal inference and social demography is preferred.
  • Excellent written and spoken English.
  • Good interpersonal, communication, organizational and problem-solving skills.
  • Competitive publication record on related topics.

Responsibilities

  • Work on topics related to AI and social surveys.
  • Design and refine research instruments.
  • Coordinate data collection and analysis.
  • Support organization of events.
  • Assist in preparation of reports.
  • Perform other duties as assigned.

Skills

Quantitative skills
English proficiency
Teamwork
Problem solving
Interpersonal skills
Publication track record

Education

PhD in sociology / related fields

Tools

LLM APIs

Job description

University of Hong Kong invites applications for a Post-doctoral Fellow in the Department of Sociology. The role collaborates with Professor Lai Wei on AI-enabled social surveys, instrument design, and data analysis.

Applicants should hold a PhD in sociology or related fields, demonstrate strong quantitative and coding skills, and have excellent English. The position runs for one year with renewal possible based on performance and funding.

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