HKU Professoriate Cluster Recruitment (Data Science and/or Big Data Related fields) for the Institute of Data Science
HKU Professoriate Cluster Recruitment (Data Science and/or Big Data Related fields) for the Institute of Data Science
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Job Description
The University of Hong Kong (HKU) is recruiting 30 outstanding academics in data science and/or big data related fields with potential for scientific and scholarly breakthroughs to join its newly established Institute of Data Science (HKU-IDS) as assistant associate or full professors on tenure-track or with direct tenure.
To achieve strategic cluster recruitment applications are invited for positions in the two major themes of data science:
- Core: fundamentals in machine learning and artificial intelligence big data systems data security and privacy natural language processing Bayesian learning casual inference decision making under uncertainty interface between optimization and machine learning
- Applied: the use of data science in computational social science bioinformatics medicines Fintech visions and robotics and smart cities
We are seeking dedicated and creative scholars to help build up HKU-IDS through active research and strong commitment to teaching and mentoring of students. We welcome outstanding candidates from diverse disciplines in computer science statistics optimization applied mathematics social science bioinformatics business and other related areas to apply.
Each successful candidate will be jointly appointed in HKU-IDS and the academic department at HKU best aligned with the candidates work. More information about HKU-IDS can be found at Enquiries about the post should be sent to: .
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 appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme totalling up to 15% of basic salary. Housing benefits will be provided as applicable.
Applicants should submit online 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 at: Review of applications is ongoing and the search will continue until the positions are filled.
Employment Type
Full-Time
