Work type: Full-time
Department: School of Public Health (22400)
Categories: Academic-related Staff

Applications are invited for appointment as Research Assistant Professor in the School of Public Health (Ref.: 501980), to commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance.

Applicants should possess a doctoral degree by research (Ph.D., D.Sc., Dr.P.H. or equivalent) in artificial intelligence, big data or other related disciplines.  They should have a strong quantitative background; experience in analysing statistical data using MATLAB, R or other packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral communication skills; and the ability to work independently and in collaboration with a multidisciplinary team. Relevant post-doctoral work experience in the areas of artificial intelligence and/or infectious disease research, and an excellent track record of publications and grants would be advantages.

The appointee will be primarily responsible for applied and methodological work in a Big Data Laboratory, and technology transfer of advanced artificial intelligence in the field of infectious disease research.  He/She will also supervise junior research staff and students; develop research programs independently; write scientific publications, grant proposals and reports; and assist in general administrative, operational and other duties as assigned.  There will be opportunities for participation in teaching programmes. Information about the School can be obtained at http://sph.hku.hk/index.php.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  At current rates, salaries tax does not exceed 15% of gross income.  The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.

The University only accepts online applications for the above post.  Applicants should apply online and upload an up-to-date C.V.  Review of applications will start on September 30, 2020 and continue until October 31, 2020, or until the post is filled, whichever is earlier.