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Non-Tenure Track Assistant Professor

The University of Hong Kong

Apply now Ref.: 500444
Work type: Full-time
Department: School of Public Health (22400)
Categories: Professoriate Staff
Hong Kong

Applications are invited for appointment as Non-Tenure Track Assistant Professor in the Division of Epidemiology and Biostatistics in the School of Public Health (Ref.: 500444), to commence as soon as possible on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance.

Applicants should possess: (i) a Ph.D. degree or equivalent in artificial intelligence, big data, computer science or other related discipline; (ii) evidence of international recognition and scholarship; (iii) demonstrated ability to work across disciplines towards new research initiatives; (iv) a strong commitment to engage students in inquiry-based learning at postgraduate levels; and (v) a strong track record of high-quality research as indicated by publication record and external grants. 

The appointee is expected to lead an innovative and well-funded research group that is open to interdisciplinary collaboration to collate and curate massive, unique data resources and to develop novel, deep, frontier analytics in improving global public health. He/She will also teach public health courses relevant to infectious diseases, epidemiology and biostatistics at postgraduate level; and supervise junior research staff and students.  In the course of career development, he/she is expected to make substantial contributions to the School’s strategic developments in academic and research collaborations locally, regionally and internationally. 

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.  Housing benefits will also be provided as applicable.

The University only accepts online application 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 November 30, 2020, or until the post is filled, whichever is earlier.


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