Tenure-Track Professor/Associate Professor/Assistant Professor in Business Analytics (several posts) in the Faculty of Business and Economics (Ref.: 500488)
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.: 500488), to commence on July 1, 2021 or as soon as possible thereafter, on a three-year fixed-term basis with the possibility of renewal. The successful candidates with more experience and qualifications may be considered for direct tenure subject to approval.
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 the Associate Professor level.
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/.
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, totaling 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 at the University’s career site (https://jobs.hku.hk) 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. Three confidential reference letters should be sent to Ms. Panda Tsu of the Faculty (e-mail: email@example.com) directly by the referees. 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 December 31, 2020, or until the posts are filled, whichever is earlier.
The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency