Associate Professor of Teaching / Assistant Professor of Teaching, Office of the Faculty of Business
Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.
Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/.
Applications are now invited for the following post:
Associate Professor of Teaching / Assistant Professor of Teaching
Office of the Faculty of Business
(Post Ref.: 26/121)
The Faculty of Business is an AACSB-accredited one aiming at continuous improvements of our academic level and education service in the liberal arts setting. The Faculty plays an important role in educating students about cutting-edge, practical knowledge and skills, improving students' academic and professional capabilities, as well as enhancing students' awareness on social responsibilities. Furthermore, we have been devoting every effort to the sustainable development of Lingnan University in the academic community and the substantive realization of our values and mission in the Hong Kong society and the world.
The Faculty is looking for an experienced Assistant Professor of Teaching / Associate Professor of Teaching who will (1) teach courses in the STEM area focusing on information systems, business data analytics, python programming, etc., (2) support the promotion and admission as well as operation of taught postgraduate programmes at the master’s or doctoral level in the Faculty, (3) contribute to students’ academic and career advising, and (4) contribute to other administrative matters of the Faculty as required by the supervisors.
General Requirements
Candidates should have (i) a doctoral degree in computer science, information systems, data science or other relevant areas (candidates with both STEM and business background are highly desirable); (ii) at least 3 years of experience in teaching relevant courses; (iii) a recognizable experience in promoting and managing taught postgraduate programmes; and (iv) good command of English and Chinese (including Putonghua).
Appointment
The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on contract basis for up to two years.
Application Procedure (online application only)
Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.
We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.
The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.
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