Full-time Post-doctoral Fellow in Big Data
School of Public Health
University of Hong Kong

Applications are invited for appointment as Post-doctoral Fellow/Research Officer/Assistant Research Officer in the School of Public Health (Ref.: 502477), to commence as soon as possible on a one-year temporary basis. Applicants should possess a doctoral degree by research in public health, social sciences, or related disciplines, with at least one yearÕs experience in community-based research, public health research or population sciences research.Ê They should have experience in community health promotion, and/or knowledge of the application of Information and Communications Technology (ICT) in research.Ê They should also have the ability to work independently and in collaboration with a multidisciplinary team; the ability to work closely with external parties including academics, social service groups and politicians; and excellent written and spoken communication skills.

The appointee will participate in the Jockey Club SMART Family-Link Project, which aims to promote family well-being by leveraging ICT for innovative family services.Ê He/She will coordinate research design; liaise with community parties and institutions; plan, develop and conduct community-based interventions and training programmes for local social service practitioners and professionals; facilitate the collection of big data; oversee data collection and management; write scientific publications and reports; supervise junior research staff; and perform other duties as assigned.Ê

Those who have responded to the previous advertisement (Ref.: 499518) need not re-apply.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.ÊThe University only accepts online applications for the above post.Ê Applicants should apply online and upload an up-to-date C.V.Ê Review of applications will start on November 23, 2020 and continue until December 31, 2020, or until the post is filled, whichever is earlier.