HKU Professoriate Cluster Recruitment (Data Science and/or Big Data Related fields)
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HKU Professoriate Cluster Recruitment (Data Science and/or Big Data Related fields) for the Institute of Data Science
Apply nowRef.: 502558
Work type: Full-time
Department: University (00100)
Categories: Professoriate Staff
The University of Hong Kong (HKU) is recruiting 100 outstanding academics in emerging fields with potential for scientific and scholarly breakthroughs—above and beyond our existing recruitment programme—to join HKU as assistant, associate, or full professors, on tenure-track or with direct tenure (https://www.prof-scholars.hku.hk/).
To achieve strategic cluster recruitment, the Institute of Data Science (HKU-IDS) invites applications for multiple positions in the general area of machine learning, data science, and artificial intelligence. We welcome outstanding candidates from diverse disciplines in computer science, statistics, optimization, applied mathematics and other related areas to apply. Each successful candidate will be jointly appointed between HKU-IDS and the academic department at HKU best aligned with the candidate’s work.
This is a broad search open to all areas of data science including but not limited to databases and systems, fundamental machine learning, interface between optimization and machine learning, natural language processing, visions and robotics, Bayesian learning, causal inference, and decision making under uncertainty.
We are seeking dedicated and creative scholars to help build up our newly established Institute of Data Science through active research and strong commitment to teaching and mentoring of students.
To apply online, please complete applications with a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references (https://www.prof-scholars.hku.hk/apply-now). Review of applications is ongoing and the search will continue until the positions are filled.
Advertised: Nov 6, 2020 (HK Time)