Tenure-Track Faculty in Humanities and Social Sciences

(equivalent to Assistant, Associate, or Full Professors at universities). We seek scholars conducting innovative empirical research on human behavior and social systems using advanced data and computational approaches . We are particularly interested in candidates whose work integrates artificial intelligence, machine learning, computational methods, or large-scale digital data with social science theory and empirical analysis. The Center provides an interdisciplinary research environment bringing together scholars from sociology, political science, psychology, statistics, and data science. Our research emphasizes data-intensive social science , including the integration of survey data with digital trace data, text and network data, and other emerging data sources. We welcome applications from scholars working on innovative empirical and computational approaches to the study of social systems . Areas of interest include, but are not limited to: Computational social science Artificial intelligence and machine learning in social research Large-scale empirical analysis using digital trace or behavioral data Text mining, natural language processing, and computational text analysis Network analysis and complex social systems Integration of survey data with digital, administrative, or other emerging data sources Methodological innovation in data-driven social science Applicants from diverse disciplinary backgrounds in social sciences, statistics, computer science, data science, or related fields are encouraged to apply. Qualifications Applicants should hold a doctoral degree from an accredited academic institution (or equivalent), or expect to receive the doctoral degree by July 31, 2026 . Qualifications for Full, Associate, and Assistant Research Fellows follow the Organization Regulations of the Research Institutes of Academia Sinica (Articles 7–9): https://www.sinica.edu.tw/en/cp/420 Candidates with a strong record of empirical research using advanced quantitative or computational methods and demonstrated potential for interdisciplinary collaboration will receive priority consideration. Proficiency in Chinese is not required . Expected Contributions The successful candidate is expected to: Conduct high-impact empirical research Contribute to the development of data-intensive and computational social science Participate in interdisciplinary collaborations within RCHSS, Academia Sinica, and the broader academic and research community in Taiwan Engage in international academic exchange and research activities Required Documents Applicants should submit the following materials in electronic format : Curriculum vitae List of publications Photocopy of doctoral degree certificate (or proof of expected completion of the doctoral degree) Proof of current or previous academic appointments at academic institutions in Taiwan or abroad (if applicable) The doctoral dissertation (or draft) Up to five representative publications (in PDF format) published after Jan. 1, 2021 Statement of research accomplishments and future research plans (within three pages) Three letters of recommendation to be sent directly to Dr. Ming-Chang Tsai, Executive Director of the Center for Survey Research, c/o Ms. Wen-Hsin Wang Additional materials required for Assistant Research Fellow applicants: Transcripts from graduate schools For applicants who have not yet received the doctoral degree, please provide proof of completion of coursework requirements and documentation confirming the scheduled date of the dissertation defense. If representative publications are the result of collaborative research, applicants should clearly describe their individual contributions to the research. Operating Hours Based on Academia Sinica regulation Work Place Center for Survey Research, Research Center for Humanities and Social Sciences Treatment Based on Academia Sinica regulation Welfare Based on Academia Sinica regulation Reference Site https://survey.sinica.edu.tw/?page_id=6135&lang=en Precautions for application • Application materials should be sent by email to wangwh@gate.sinica.edu.tw by June 30, 2026. • Review of applications will begin immediately, and the position may be filled before the deadline if a suitable candidate is identified. Contacts Ms. Wen-Hsin Wang Contact Address 128 Sec. 2, Academia Rd. Nankang, Taipei 115, Taiwan, R.O.C. Contact Telephone 886-2-2787-1828 Email wangwh@gate.sinica.edu.tw