Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) 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:
Senior Lecturer/ Lecturer
Master of Science in Cross-disciplinary Technologies+
Master of Liberal Sciences
School of Interdisciplinary Studies
(Post Ref.: 25/133)
The School of Interdisciplinary Studies (SIS) was established to deepen interdisciplinary studies and scholarly collaboration. SIS positions at the fusion of excellence of interdisciplinary research and education. The School’s strategic areas are centred with the theme of sustainability and embraced by the fundamental engineering science and lead to smart future.
SIS is looking for experienced Senior Lecturer/ Lecturer who will (i) teach multiple subjects in Master of Science in Cross-disciplinary Technologies+ (MScCT+) and Master of Liberal Sciences (MLS), focusing on information systems, business and data analytics, electronic business, digital marketing and new media, smart manufacturing, artificial intelligence, etc., (ii) work on the promotions and admissions as well as the operations for MScCT+ and MLS, and (iii) contribute to other administrative duties as required by the supervisors.
General Requirements
Candidates should have (i) a doctoral degree in engineering, data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) experience in teaching relevant courses and relevant programme administrative experience; and (iii) good command of English and Chinese (including Mandarin). Candidates who possess a strong academic background but have less teaching experience, or those with lower qualifications but substantial teaching experience, will also be considered.
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 be made on a fixed-term contract of up to two years.
Application Procedure (online application only)
Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only.
We are an equal opportunities employer. Review of applications will start immediately and 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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