Associate Professor/Assistant Professor, Department of Computing and Decision Sciences
Lingnan University, a distinctive liberal arts institution in the Hong Kong Special Administrative Region, is committed to the provision of quality whole-person education by combining the best of Chinese and Western liberal arts traditions. It strives to pursue excellence in teaching, learning, scholarship and community engagement. With three academic Faculties, it offers a wide range of undergraduate degree programmes in arts, business and social sciences. Lingnan’s liberal arts education is characterised by a broad-based interdisciplinary curriculum with specialised disciplinary studies; close student-staff relationship; a vibrant residential campus; ample global learning opportunities; active community engagement and multifarious workplace experience. The School of Graduate Studies also offers postgraduate programmes up to doctoral level in various disciplines and provides professional education for the wider society.
Applications are now invited for the following post:
(Post Ref.: 22/90)
The Department of Computing and Decision Sciences (https://cptra.ln.edu.hk) is one of the five departments in the Faculty of Business that contribute to the undergraduate programme of Bachelor of Business Administration (Hons) degree. The Department hosts the LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science programme and runs a Master of Science Programme in Artificial Intelligence and Business Analytics as well as a Master of Science Programme in eBusiness and Supply Chain Management. The Department invites applications for tenure-track faculty position in the areas of (i) Data Science, (ii) Information Systems, (iii) Artificial Intelligence, and (iv) Data Analytics.
Applicants should have a PhD degree in Computer Science, Data Analytics, Information Systems, or a relevant discipline. The appointee is expected to have passion in research and teaching. Ideally, the candidate would have strong relations with the industry, and have experience in applying artificial intelligence/data science/analytics in real life contexts. Experience in securing external research, educational, and industrial grants, and in managing and promoting undergraduate programmes will be an advantage. For appointment as Associate Professor, candidates should have at least five years of relevant experience and a sound track record in research and scholarly activities. For appointment as Assistant Professor, candidates should have relevant teaching experience and demonstrate outstanding research potential in the related fields.
Lingnan University is fully committed to the pursuit of excellence in both teaching and research. The appointee should demonstrate commitment to teaching and research excellence. Applicants are required to provide information on their research records and evidence of quality teaching. Administrative experience will be an advantage.
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 an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.
Please click "Apply Now" to submit your application. Applicants should 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.