Assistant Professor, 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 and the School of Interdisciplinary Studies, it offers a wide range of undergraduate degree programmes in the areas of Arts, Business and Social Sciences, and the broad curriculum covers an array of general education, interdisciplinary and science courses. The School of Graduate Studies offers research and taught postgraduate programmes up to doctoral level in various disciplines, and provides professional education for the wider society. 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. Applications are now invited for the following post:

Lingnan Strategic Faculty Recruitment

With “Education: Care for Learning • Research: Impact with Care” as its core value, Lingnan University, a leading liberal arts university in Asia, is committed to contributing to the improvement of society and humankind through effective teaching and learning, sustainable research, and knowledge transfer activities with an international approach. In line with the University’s Strategic Plan 2022-2028 to build scholarly and research capabilities in designated strategic areas over the next few years, with a special focus on cross-Faculty collaborations in multi-disciplinary research and teaching programmes, we now invite applications from around the globe for various interdisciplinary academic positions at the rank from Postdoctoral Fellow to Chair Professor.

Assistant Professor
Data Science
Post Ref.: 23/370

The University is seeking to hire a full-time Assistant Professor in the area of the generative artificial intelligence, especially in the context of large language models for addressing natural language processing problems in real-life applications. Candidates should have (1) a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or a relevant discipline; (2) a strong publication record in peer-reviewed journals and top-tier reputable conferences in the relevant fields (e.g., artificial intelligence, natural language processing, and so on); (3) a good track record in competitive grant applications in the relevant areas; (4) experience in applying artificial intelligence techniques in interdisciplinary research like business, education, healthcare, social science and so on; and (5) relevant teaching experience.

The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for external competitive grant, and commit to teaching excellence and active services to the Faculty and the University. Candidates are required to provide evidence of their research records and quality teaching. A proven record in academic leadership and institutional service would be a distinct advantage. Short-listed candidates will be requested to provide a sample course syllabus in the relevant field before the interview.

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 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.

Application Procedure

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicant's 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.