Positions in Business Analytics, Innovation and Information Management, Faculty of Business and Economics, The University of Hong Kong

Founded in 1911, the University of Hong Kong is committed to the highest international standards of excellence in teaching and research, and has been at the international forefront of academic scholarship for many years. The University has a comprehensive range of study programmes and research disciplines spread across 10 faculties and over 140 academic departments and institutes/centres. There are 28,000 undergraduate and postgraduate students who are recruited globally, and more than 2,000 members of academic and academic-related staff coming from multi-cultural backgrounds, many of whom are internationally renowned.

Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in Business Analytics of Innovation and Information Management at the Faculty of Business and Economics, to commence on July 1, 2019 or as soon as possible thereafter, on a three-year fixed-term basis, with the possibility of renewal.

Applicants should have a Ph.D. degree in Computer Science, Information Systems, Operations Management, Statistics, 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- and related areas. Experience in teaching Masters or MBA courses is especially preferred for candidates at the Associate Professor level.
Information about the Faculty of Business and Economics can be obtained from https://www.fbe.hku.hk/. The faculty recently launched the Master of Science in Business Analytics Program. Information about the program can be obtained from http://www.fbe.hku.hk/msba/.

Our faculty will be available to meet with candidates at The Tenth POMS-HK International Conference in Hong Kong. To ensure full consideration, candidates should submit before November 30, 2018 by email a detailed curriculum vita, statements of research and teaching interests, and copies of two sample research papers to Ms. Panda Tsu (e-mail: pandatsu@business.hku.hk) (cc to Dr. Benjamin Yen: benyen@hku.hk).