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 characterized by a broad-based interdisciplinary curriculum with specialized disciplinary studies; close student-staff relationship; a vibrant residential campus; ample global learning opportunities; active community engagement and multifarious workplace experience.
Lingnan University is accredited as a Five Stars Institution by The QS Intelligence Unit, and ranked 3rd in "Quality Education" globally by the Times Higher Education (THE) Impact Rankings 2021, which reflect the extent universities deliver the United Nations Sustainable Development Goals (SDGs). Lingnan 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.
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.
Post Ref.: 22/98
The University is seeking to hire a full-time Assistant Professor in one of the following areas: (i) Deep Learning and Deep Neural Networks; (ii) Evolutionary Computation; (iii) Machine Learning and Data Mining areas.
Candidates should have
- a PhD in Computer Science, Data Science, Artificial Intelligence, or a relevant discipline;
- a strong publication record in peer-reviewed journals of good international standing and/or university presses;
- a good track record in competitive grant applications in the relevant areas;
- experience in applying Deep Learning/Evolutionary Computation/Machine Learning/Data Mining in real life contexts; and
- 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.
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.
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.