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Research Assistant Professor

On-site in Hong Kong·Added 2 days ago (last checked 11 Oct)

Overview

Work mode
On-site, Hong Kong

Skills

Requirements

What we're looking for

Applicants should have (i) a PhD in Computer Science or related field; (ii) demonstrated research ability in systems and AI, with focus on at least one of the applications in health, medicine, autonomous driving, and robotics.

The role

The Department of Information Engineering at The Chinese University of Hong Kong (CUHK) seeks outstanding candidates for Research Assistant Professorship (RAP) in the areas of AI for Health and Medicine with a focus on clinical applications, Embedded AI algorithms and systems, Autonomous Driving and Robotics systems.

What you'll do

The successful candidate is expected to (a) conduct research in AI and systems; (b) pursue external research funding as Principal Investigator and Co-Investigator; (c) co-supervise undergraduate and graduate students; (d) teach relevant courses at undergraduate and graduate levels; and (e) contribute to service duties at department, faculty, and university levels. The appointee will work closely with Prof. Guoliang Xing's research group in the department, focusing on advancing the field of embedded AI systems.

Department/ Unit

Department/ Unit: Department of Information Engineering

Closing date

Closing date: Until the post is filled

Further information about the Department

Further information about the Department is available at http://www.ie.cuhk.edu.hk/.

Hiring process

Appointment will normally be made on contract basis for up to three years. Applicants should submit an online application and attach a full resume, a list of publications, a cover letter, together with names and e-mail addresses of three referees to whom the applicants' consent has been given for their providing references. The review of applications will begin immediately and will continue until the position is filled. Only shortlisted applicants will be notified.

About The Chinese University of Hong Kong (Academic)

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