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Postdoctoral Fellow in the Division of Spine Surgery

Employer
THE UNIVERSITY OF HONG KONG
Location
Pok Fu Lam, Hong Kong
Closing date
16 Oct 2019

Work type: Full-time
Department: Department of Orthopaedics and Traumatology (21000)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in the Division of Spine Surgery of the Department of Orthopaedics and Traumatology (Ref.: 498704), to commence as soon as possible for one to three years, with the possibility of renewal subject to satisfactory performance.

Applicants should have a Ph.D. degree in computer science, applied mathematics, artificial intelligence, physics, neuroscience, or a related discipline.  They should have technical knowledge of common machine learning algorithms, especially deep learning; familiarity with algorithms such as pattern recognition, probability statistics, and optimization; competence in at least one of the common machine learning or deep learning frameworks such as Caffe, Tensorflow, PyTorch, Matconvnet, Torch, MXNet, XGBoost, and Spark; and solid programming skills using C/C++, Java, Python, Matlab, R, Julia, etc.  They should also have strong problem-solving skills and initiatives, excellent logical thinking and sensitivity to data, and the ability to work independently as well as collaborate closely with a multi-disciplinary team.  The ability to read and write English journal articles is essential.

The appointee will participate in research projects on systematic/standardized acquisition of medical images, feature extraction, automatic diagnosis, 3D visualisation, and disease development prediction.  Shortlisted candidates will be invited to an interview.  Enquiries about the duties of the post should be sent to Ms. Amy Leung at lmf627@hku.hk

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 applications for the above post.  Applicants should apply online and upload an up-to-date C.V., and provide at least one referee's name and contact details.  Review of applications will start as soon as possible and continue until October 16, 2019, or until the post is filled, whichever is earlier.

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