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Associate Professor of Teaching/ Assistant Professor of Teaching

Employer
LINGNAN UNIVERSITY
Location
Tuen Mun, Hong Kong
Closing date
27 Apr 2024

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) with the longest established tradition among the local institutions of higher education. Lingnan University is a global leader in providing quality education focusing on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University aspires to become a leading research-intensive liberal arts institution in the digital era.

Lingnan University’s Faculties of Arts, Business, Social Sciences, School of Graduate Studies, and School of Interdisciplinary Studies run undergraduate, taught postgraduate and research postgraduate programmes. Its liberal arts education model blends the arts, science, and elements around human and humanities. Anticipating the establishment of the School of Data Science, Lingnan strives to enhance innovation and technology research to drive a positive impact in the society and the world. Building upon Lingnan’s existing strength combining the best of the Chinese and Western liberal arts traditions, the University will leverage its geographical strength in the Northern Metropolis and pioneer the liberal arts education model in the Greater Bay Area (GBA) and beyond. 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
Master of Science in Cross-disciplinary Technologies+
School of Interdisciplinary Studies
(Post Ref.: 24/113)

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 Associate/ Assistant Professors of Teaching/ Senior Lecturer/ Lecturer who will (i) teach multiple subjects in Master of Science in Cross-disciplinary Technologies+ (MScCT+), focusing on information systems, business and data analytics, electronic business, new media, smart manufacturing, artificial intelligence, etc., (ii) work on the promotions and admissions as well as the operations for MScCT+, and (iii) contribute to other administrative duties as required by the supervisors. The Associate Professor of Teaching is expected to take up the Programme Director role.

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) a minimum of 3 years’ 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.

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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