"Research Assistant Professor Division of Artificial Intelligence (Post Ref.: 25/65)"

Research Assistant Professor

The Division is looking for experienced Research Assistant Professor who will (i) carry out research and submit papers to top journals in the field of 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; (ii) play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered by the Division of Artificial Intelligence. 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 (iii) perform administrative duties as assigned by the Associate Dean (i.e., Person-in-Charge of the Division of Artificial Intelligence).

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 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 three years.

Application Procedure

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 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.