Associate Professor/Assistant Professor, Artificial Intelligence and Data Science
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.
Lingnan University is ranked 2nd worldwide for "Quality Education" in the latest Times Higher Education (THE) University Impact Rankings 2020, and leaped 20 places in the overall QS World University Rankings 2021 as well as being in the top 35 in "International Faculty". Lingnan was named one of the "Top 10 Liberal Arts Colleges in Asia" by Forbes in 2015.
Artificial Intelligence (AI) and Data Science
(Post Ref.: 20/217/W)
The University is seeking to hire a full-time Associate Professor/Assistant Professor in Artificial Intelligence (AI) and Data Science.
Candidates should demonstrate strong expertise in one or both of the following areas:
- Artificial Intelligence;
- Data Science (focusing on big data analytics); and should have sufficient teaching and/research experience in data analytics applications in business.
A strong interest in any of the following will be an advantage:
- cross-disciplinary academic activities;
- development of AI- or Data Science-related programmes; and
- joint research activities with internal and external scholars.
The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to teach relevant courses at all levels, work on quality research projects, apply for internal and external research grants, contribute to relevant undergraduate and postgraduate programmes, and such duties as may be required. The appointee would also collaborate with the Faculty of Arts (https://www.ln.edu.hk/arts/) on AI- and/or big data-based research and teaching matters.
Candidates should have a PhD degree in the relevant discipline. 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, a good research record and must demonstrate good potential in publishing high quality papers.
Lingnan University is fully committed to the pursuit of excellence in both teaching and research. Candidates are required to provide evidence of quality teaching and information on their research records. Administrative experience in university departments would be a distinct advantage. The appointee is expected to have a strong commitment to teaching excellence and services to the Department, the University community, and to engage actively in quality research and publication.
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 normally lead to longer-term appointment with possibility of consideration for substantiation.
Applicants are invited to send their dossier together with a completed personal data sheet (Form R1 which is obtainable at http://www.LN.edu.hk/hr/employment-opportunities/application-forms) to the Human Resources Office, Lingnan University, Tuen Mun, Hong Kong by post or by email: recruit@LN.edu.hk (as attachment in PDF format). Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Please specify the post/level you are applying for and quote the reference number of the post in all correspondence. Personal data collected will be used for recruitment purposes only. Further information on the University and its programmes and activities can be found on the University’s web site: http://www.LN.edu.hk. Enquiries can be directed to recruit@LN.edu.hk.
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.