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 Data Science, 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. Lingnan University strives to enhance innovation and technology research to drive a positive impact in the society and the world. Building upon Lingnan University’s existing strength in 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 posts:

Postdoctoral Fellow / Research Assistant Professor
LEO Dr. David P. Chan Institute of Data Science, School of Data Science
(Post Ref.: 24/252)

The School of Data Science (SDS) is committed to becoming the premier incubator for data innovation in Asia. Our mission is to nurture leading data scientists through an interdisciplinary curriculum that fosters ethical, critical and strategic thinking. The SDS comprises two divisions: the Division of Artificial Intelligence and the Division of Industrial Data Science, as well as the LEO Dr David P. Chan Institute of Data Science.

The LEO Dr. David P. Chan Institute of Data Science (https://www.ln.edu.hk/sds/leodcids/home) aims to (i) provide education service; (ii) empower researchers; (iii) cultivate new collaborations, and (iv) perform academic research in some selected areas of data science.

The appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to:

1. carry out research and submit papers to top journals in the field of large vision models or large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies. Furthermore, the appointee will have the opportunity to organize conferences, seminars, reading groups, workshops, and other related research activities;
2. play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered by the Division of Artificial Intelligence/ LEO Dr. David P. Chan Institute of Data Science. The teaching load will be two courses per year, distributed according to the needs of the Institute and upon mutual agreement. English will be the medium of instruction. The appointee will also be required to supervise students’ projects or thesis; and
3. perform administrative duties as assigned by the Director of the LEO Dr. David P. Chan Institute of Data Science.

General Requirements

Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good command of both English and Chinese; (iii) a strong publication record in the top-tier journals/conferences in the relevant field; and (iv) experience in developing external competitive research proposals. Candidates with a good teaching record will be an advantage.

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 a fixed-term contract of up to two years.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Applicants shall 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 posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.