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Professor/Associate Professor/Assistant Professor in Business Analytics
- Full Time
Work type: Full-time
Department: Faculty of Business and Economics (07030)
Categories: Professoriate Staff
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.: 522438), to commence on July 1, 2024 or as soon as possible thereafter. The appointment will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms.
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 or MBA courses is desirable for candidates at Associate Professor level.
Information about the Faculty can be obtained at https://www.hkubs.hku.hk/. Meanwhile, the information regarding the Faculty’s recently launched Master of Science in Business Analytics Programme can be obtained at http://www.fbe.hku.hk/msba/.
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.
The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V., recent research paper(s), and relevant teaching evaluations. 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 at a future conference. Review of applications will start as soon as possible and continue until June 30, 2024, or until the posts are filled, whichever is earlier.