THE UNIVERSITY OF HONG KONG

Post-doctoral Fellow, Research Division for Mathematical and Statistical Science

Location
Pok Fu Lam, Hong Kong
Posted
Wednesday, 4 November 2020
End of advertisement period
Wednesday, 31 March 2021
Ref
502514
Contract Type
Fixed Term
Hours
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: Research Division for Mathematical and Statistical Science (25510)
Categories: Academic-related Staff, Research Support Staff

Applications are invited for appointment as Post-doctoral Fellow (4 posts) in Applied and Computational Mathematics, Artificial Intelligence and Machine Learning in the Research Division of Mathematical and Statistical Science (Ref.: 502514), to commence as soon as possible on a two-year or three-year basis.

Applicants should possess a Ph.D. degree in Mathematics/Statistics/Data Science/Computational Science, or a related discipline.  The appointees will conduct research in various topics, including Tensor Networks, Deep Learning and Numerical PDEs, Language and Vision, and Explainable Artificial Intelligence and other machine learning areas.  Enquiries about the duties of the posts should be sent to Professor Michael Ng, Research Division Director, at mng@maths.hku.hk.

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 posts.  Applicants should apply online and upload a cover letter, together with an up-to-date C.V. including a publication list and a research statement. They are also required to arrange two reference letters to be sent directly by the referees to Professor Michael Ng at mng@maths.hku.hk.  Review of applications will start on November 17, 2020 and continue until January 31, 2021 (extended to March 31, 2021), or until the posts are filled, whichever is earlier.

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