Work type: Full-time
Department: Faculty of Dentistry (08000)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in the Faculty of Dentistry (Ref.: 515029), to commence as soon as possible for one to two year(s).

Applicants should possess a Ph.D. degree in Computer Science, Information Technology, Engineering or a related field focusing on machine learning, free volume object optimization on 3D computer vision/graphics, and graph mining.  They should be familiar with Unix/Linux operating system, data structure/analyses and Algorithms; proficient in programming languages such as Python, C++ or Go; and have good knowledge of setting up Virtual Machine and running GPU-related algorithms.  Familiarity with 3D/4D-GAN on medical or dental images, biomechanics, as well as a track record of publications in recognized learning-related conferences or journals and competitive grants are advantages.  They should be able to work independently and collaboratively in a multi-disciplinary team with materials scientists and dentists; keen on new technologies; and possess good analytical, problem solving and communication skills with strong learning initiatives.

The appointee is expected to conduct interdisciplinary research under a research grant to develop AI-related clinical applications with good user interfaces for dentists and patients.  He/She may also be required to perform research administrative duties and other duties as assigned.

Information about the Faculty can be obtained at https://facdent.hku.hk/.  Enquiries about the duties of the post should be sent to Dr. James Tsoi at jkhtsoi@hku.hk.

Those who have responded to the previous advertisement (Ref.: 511963) need not re-apply.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V.  Review of applications will start from May 31, 2022 continue until July 16, 2022, or until the post is filled, whichever is earlier.