Applications are invited for appointment as Post-doctoral Fellow in the School of Public Health (Ref.: 517104), to commence as soon as possible for two years, with the possibility of renewal subject to funding availability and satisfactory performance.
As innovation continues to flourish in the area of healthcare technology, there is a vacant niche for the careful and proper curation of data resources in order to bridge the gap in developing novel, deep analytics that can stand up to scientific scrutiny. The Laboratory of Data Discovery for Health Limited (D²4H) is at the forefront to fill this gap. It aims to gather and curate massive, unique data resources and develop deep, frontier analytics that will protect global public health and improve individual healthcare through precision medicine. The D²4H is spearheaded by The University of Hong Kong with support from other global leaders in healthcare, including the London School of Hygiene and Tropical Medicine, University College London, and the University of Sydney. The research output produced by these institution’s world-renowned experts will have global, national and local benefits, and strong commercialisation potential.
Applicants should possess a Ph.D. degree with proven capacity in the fields of AI/NLP/machine learning, digital solutions, social listening/social media analysis, statistics, etc. They should have excellent communication skills, experience in knowledge sharing, a strong track record of research, and the ability to work independently as well as in a multidisciplinary team. Experience in AI/NLP/machine learning and big data research will be highly desirable.
The appointee will participate in the development of a digital studio that aims to apply advanced statistical modelling and/or artificial intelligence and machine learning in health communication, especially in vaccine hesitancy and public trust.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accept online application for the post. Applicants should apply online and upload an up-to-date C.V. and research publication list. Review of applications will start on November 14, 2022 and continue until January 31, 2023, or until the post is filled, whichever is earlier.