Director of HKUST Big Data Institute
Found in: Talent HK C2 - 2 weeks ago
Job Posting Details
The University is inviting applications and nominations for the position of Director of the HKUST Big Data Institute.
The University
Founded in 1991, the Hong Kong University of Science and Technology (HKUST) is a world-renowned international research university dedicated to the advancement of learning and scholarship, with special emphasis on postgraduate education and close collaboration with the industry, business and government. It promotes interdisciplinary studies and is dedicated to educating all-rounded students to acquire a strong entrepreneurial spirit and innovative thinking with a global outlook. While the University is deeply rooted in Hong Kong, HKUST (Guangzhou) is established in Guangzhou, Mainland China to complement the well-established disciplinary foundation at HKUST. HKUST (Guangzhou) has established 4 transdisciplinary hubs and 16 thrust areas to achieve maximum synergy in education and research. With its short history, HKUST has established a strong presence in the global higher education scene and has been ranked among the top universities by QS Universities Rankings and the Times Higher Education Supplement. English is the medium of teaching, research and administration.
HKUST is committed to increasing the diversity of its faculty and has a range of family-friendly policies in place.
The Institute
The HKUST Big Data Institute (BDI) is a cross-campus Institute that supports faculty and students working on Big Data and Data Science at HKUST and HKUST (Guangzhou). BDI strives to provide strong leadership role in Big Data and Data Science research in Hong Kong and globally by establishing renowned education programs, coordinating and developing cross-institutional and cross-departmental research projects, and actively engaging in community outreach. BDI has three primary missions:
The Role
The appointee will report to the Vice-President for Research and Development of HKUST and the Vice-President for Research of HKUST (Guangzhou). The appointee is expected to provide leadership for the cross-campus Institute and manage its diverse research and educational functions for HKUST and HKUST (Guangzhou). The appointee will lead the development of educational programs in Big Data and Data Science, oversee the promotion of research initiatives and projects in Big Data and Data Science in relation to the industrial and economic development of the region, and foster the recruitment of core faculty and staff in Big Data and Data Science related systems.
Terms & Applications / Nominations
The appointment will be concurrent with a substantive professorial appointment with the academic department(s). The initial term of directorship will be 3 years, renewable upon mutual agreement. Competitive remuneration and generous fringe benefits, including housing where appropriate, will be provided.
Applications/nominations for the position are invited from well-qualified and accomplished scholars. In addition to reputable academic qualifications, extensive teaching and research experience, the appointee must have demonstrated capability to provide strong leadership at the tertiary level. Proven capacity to interact effectively with government authorities, industry and commercial sectors would be advantageous.
Applications/nominations, together with a full curriculum vitae, and names and email address of three referees, should be addressed to the Search Committee Chair for Directorship of the HKUST Big Data Institute by email . Review of candidates will start from 1 November 2023 and the search will continue until the position is filled.
For more information about HKUST, HKUST (Guangzhou) and HKUST BDI, please visit the following websites:
HKUST -
HKUST (Guangzhou) -
HKUST BDI -
(Information provided by applicants will be used for recruitment and other employment-related purposes. Applicants should read the before submission of application.)
HKUST is an equal opportunities employer and is committed to our core values of
inclusiveness, diversity, and respect.
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