Post-doctoral Fellow, Department of Statistics and Actuarial Science

Pok Fu Lam, Hong Kong
28 Jun 2019
End of advertisement period
31 Jul 2019
Contract Type
Fixed Term
Full Time

The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.

Work type: Full-time
Department: Department of Statistics and Actuarial Science (25900)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in the Department of Statistics and Actuarial Science (Ref.: 497023), to commence as soon as possible for 20 months, with the possibility of renewal subject to funding availability and satisfactory performance.

Applicants should possess a Ph.D. degree in Statistics, Biomedical/Electrical Engineering, Computer Science or a related discipline.  Experience in deep learning research and applications, especially in medical imaging application is preferred.  Applicants should be highly motivated, with the ability to work independently and handle multiple tasks in a collaborative team environment.  They should also have proficiency in written and spoken English and Chinese (including Putonghua), good interpersonal and communication skills.  The appointee will participate in an imaging research project involving the application of artificial intelligence and deep learning in medical imaging, and will be involved in data collection and imaging analysis.  Enquiries about the duties of the post should be sent to Dr. Philip Yu at

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  At current rates, salaries tax does not exceed 15% of gross income.

The University only accepts online application for the above post.

Applicants should apply online and upload an up-to-date C.V. with a personal statement and research interest.  Review of application will start as soon as possible and continue until July 31, 2019, or until the post is filled, whichever is earlier.

Similar jobs