Professor/Associate Professor/Assistant Professor rank specializing in statistics

Posted 12 months ago

The Department invites applications for a tenure-track faculty positions at the Professor/Associate Professor/Assistant Professor rank specializing in statistics, especially in connection with modern data sciences or an area which complements the Department’s research profile.

Applicants should possess a relevant PhD Degree and a record of strong research. Teaching experience is preferred. They are expected to be energetic and motivated, and actively participate in current research and teaching programmes of the Department. Those with substantial teaching experiences and a good record of scholarly achievements will be considered for appointment at the rank of Associate Professor/Professor.

Initial appointment will be offered on a fixed-term contract up to three years. Re-appointment thereafter will be subject to mutual agreement.

Salary will be commensurate with qualifications and experience.

Application Procedure:

Applicants are invited to submit their applications at the HKBU e-Recruitment System ( with samples of publications, preferably three best ones out of their most recent publications/works. Applicants should also request two referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Personnel Office (Email: direct. Those not invited for interview four months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at

The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer.

Closing date: 6 September 2020 until the position is filled

Job Features

Job CategoryEnseignement et recherche scientifique

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