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Tenure-Track Professor/Associate Professor/Assistant Professor in Business Analytics (several posts)

The University of Hong Kong

Apply now Ref.: 512064
Work type: Full-time
Department: Faculty of Business and Economics (07030)
Categories: Professoriate Staff
Hong Kong

Applications are invited for appointment as Tenure-Track Professor/Associate Professor/Assistant Professor (several posts) in Business Analytics in the Faculty of Business and Economics (Ref.: 512064), to commence on July 1, 2022 or as soon as possible thereafter, on a three-year fixed-term basis with the possibility of renewal, or on tenured terms for exceptionally outstanding candidates.

Information about the Faculty can be obtained at http://www.fbe.hku.hk/.  The Faculty recently launched the Master of Science in Business Analytics Programme.  Information about the Programme can be obtained at http://www.fbe.hku.hk/msba/

Applicants should have a Ph.D. degree in Information Systems, Operations Management, Statistics, Computer Science, or a closely related data-analytics discipline.  The Faculty is particularly interested in those who conduct high-quality scholarly research and are able to teach courses in business analytics, machine learning, FinTech, and related areas.  Experience in teaching Master’s degree or MBA courses is desirable for candidates at the Associate Professor level. 

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 be provided as applicable.

Applicants who have responded to the previous advertisement (Ref.: 504660) are still under consideration and need not to re-apply.

The University only accepts online application for the above posts.  Applicants should apply online and upload an up-to-date C.V. and other supporting documents.  Applicants are requested to declare ONE main research area from the four categories, namely Information Systems, Operations Management, Statistics, and others in the application form.  At least three referees will be invited to send their confidential reference letters to the Faculty directly.

Shortlisted applicants will be invited for an interview either at a future conference or via Zoom in case of a virtual conference.  Review of applications will start as soon as possible and continue until June 30, 2022, or until the posts are filled, whichever is earlier.

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