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Postdoctoral Fellow

Lingnan University, Hong Kong · Department of Sociology and Social Policy · United Kingdom

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About this position

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Postdoctoral Fellow (two posts)

Department of Sociology and Social Policy

(Post Ref.: 26/236 /JAC)

The Department of Sociology and Social Policy brings together scholars with international research experience and publication records in major outlets in Sociology and Social Policy. The Department is a recipient of the University’s Research Excellence Award and Teaching Excellence Awards. We offer teaching in Sociology and Social Policy, the Health and Social Services Management Major and co-host the Social and Public Policy Studies Major with the Department of Economics.

The Department hosts an MSocSc Programme in Comparative Social Policy (International) (IMCSP), and an MSocSc Programme in Sociology and Data Analytics (MSoDA), and has been successful in attracting MPhil and PhD students from around the world, as well as Hong Kong PhD Fellows, and winning other external competitive grants. Applicants are advised to visit the departmental website , UG programme website , IMCSP programme website , MSoDA Programme website , and RGC Funding Schemes website .

We welcome applications for two Postdoctoral Fellow (PDF) positions on a research programme, investigating which public health and social control measures (PHSMs) maximally reduced COVID-19 transmissions while causing fewer disruptions to the community and evaluating the optimal social policy designs in minimising the economic harms of the COVID-19 pandemic through cross-national research as well as a local survey and focus groups in Hong Kong. For more information, applicants are invited to contact Professor Stefan Kühner ( stefankuehner@ln.edu.hk ).

General Requirements

Applicants should have obtained / been conferred a PhD degree in Sociology, Social Policy, or other related disciplines for no more than three years prior to the commencement of the appointment, with evidence of excellent research outputs. Experience with conducting state-of-the-art quantitative and qualitative social research is essential. Experience conducting systematic literature reviews, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct advantage.

The appointees’ primary duties will be to conduct scholarly research, but they may also be asked to assist in course teaching, supervising student research projects and perform other duties as assigned. The appointees are expected to have a solid commitment to academic excellence and is expected to engage in their own high-quality research and journal publications.

Appointment

The conditions of the appointments will be competitive. The remuneration will be commensurate with the applicants’ qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, incoming passage and baggage allowance for the eligible appointees.

The appointments will normally be made on a fixed-term contracts for up to two years.

Application Procedure

Please submit your application online via Apply button above. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only .

Remuneration will be commensurate with qualifications and experience

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