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Postdoc Fellow at University of Hong Kong

University of Hong Kong is pleased to invite applicants to apply for a postdoctoral fellowship position in computer science. Applicants should apply before February 10, 2019.

Apply now Ref.: 492594

Work type: Full-time Department: Department of Urban Planning and Design (01300) Categories: Academic-related Staff Applicants are invited for appointment as Post-doctoral Fellow in the Department of Urban Planning and Design (Ref.: 492594), to commence on February 1, 2019 or as soon as possible thereafter, for a period of 24 to 30 months.

Applicants should have a Ph.D. degree that combines an analytics / predictive modelling aspect (e.g. computer science, statistics, machine learning) with urban planning, urban design or architecture. They should have proficiency and/or experience in common predictive models used in machine learning software and programming tools widely used in data analysis (e.g. SPSS, SQL, SAS, R, Python, Tensorflow, etc.); 3D GIS, network analysis; data visual analytics (e.g. Tableau, Qlik, etc); excellent written and oral communication skills in English; the ability to work independently and in collaboration with a multidisciplinary team.

The appointee will work on transforming and automating retrospective and prospective investigation of complex multi-level, hyper dense environments, such as Hong Kong. These complex urban settings are integrated within large scale multi-modal networks that are becoming common not only in the East but also in the West.

This position is based in the University’s Healthy High-Density Cities Centre under the HKUrbanLab, which is a collaboration between the Faculty of Architecture and Li Ka Shing Faculty of Medicine. The appointee will report directly to the Programme Director of Master of Urban Design. Enquiries about the position should be sent to Mr. Alain J.F. Chiaradia at alainjfc@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 application for the above post. Applicants should apply online and upload an up-to-date C.V. with reference letters. Review of applications will commence as soon as possible and continue until February 10, 2019, or until the post is filled, whichever is earlier.


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