Applications are invited for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics in HKU Business School and the School of Computing and Data Science, to commence as soon as possible. Appointment will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms.
HKU Business School
HKU Business School is a leading business school in Asia, offering a full range of undergraduate, taught postgraduate, MBA, EMBA and research postgraduate programmes. It is ranked 1st in Asia and 6th globally in the 2025 UTD Business School Research Ranking, and 1st in Asia and 11th globally in the 2026 Financial Times Research Ranking. The School has a strong cohort of academic staff across six academic areas and provides a vibrant environment for high‑impact research and education. The School is committed to excellence in research and teaching, and to fostering impactful scholarship that serves Hong Kong, the Greater Bay Area, China and the world. Further information about the School can be found at https://www.hkubs.hku.hk/.
The School of Computing and Data Science
The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence, 21st in Computer Science and Information Systems, and 32nd in Statistics and Operational Research in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk.
We are seeking outstanding scholars whose research and teaching lie at the interface of modern statistical methodology, artificial intelligence and data science, and who can contribute to cross-disciplinary collaborations between HKU Business School and the School of Computing and Data Science. The appointee will have their tenure home in HKU Business School (Statistics Group), and will be jointly appointed to the School of Computing and Data Science. As an AI+Business hire, the appointee is expected to develop a creative and impactful programme of research and teaching that integrates advanced statistical methods and AI with business, economics, and insurance and to play a leading role in fostering collaborations across the two units.
The Statistics Group in the Innovation and Information Management (IIM) Area at HKU Business School
The Statistics Group in the IIM Area at HKU Business School focuses on statistics and business analytics. The Group’s main research interests span the frontiers of modern statistical methodology and applications, including (but not limited to) machine learning, artificial intelligence, high-dimensional statistical inference, functional data analysis, time series analysis, econometrics, factor models, and privacy protection. The Group’s research is widely applied in areas such as healthcare and bioinformatics, service engineering, financial markets, educational assessments, and psychological measurement. The appointee is expected to complement and strengthen these areas, and to contribute to the Group’s growing portfolio of AI- and data-driven business analytics research.
Duties
The appointee is expected to:
- develop and maintain a vigorous, high-quality research agenda with a strong AI and data science component;
- publish in leading peer-reviewed journals and present at major international conferences;
- seek and secure external competitive research funding;
- contribute to teaching at undergraduate and postgraduate levels in statistics, data analytics and related areas, including AI-rich programme offerings;
- supervise research postgraduate students; and
- undertake service and administrative duties in HKU Business School, the School of Computing and Data Science, and the University as appropriate.
Those appointed at Professor/Associate Professor level will also be expected to mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities.
Qualifications
Applicants should possess a Ph.D. in Statistics, Data Science, Computer Science, Econometrics or a closely related field. The ideal candidate will:
- demonstrate a robust research record in statistics and/or machine learning, with applications in business, economics, finance, insurance or related areas;
- show evidence of, or potential for, cross-disciplinary research that bridges statistics, AI and business;
- exhibit a strong commitment to excellence in both research and teaching; and
- for appointment at Professor/Associate Professor level, have an international reputation and proven academic leadership in their field.
What we offer
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.
How to apply
The University only accepts online applications for the above post. Applicants should apply online and upload: (i) a cover letter explaining their fit for a joint appointment and outlining how they can contribute to cross‑disciplinary teaching and research that bridges statistics, AI and business; (ii) a curriculum vitae; (iii) a research statement (including current and planned collaborations with both business and data science communities); (iv) a teaching statement (including experience or plans in AI‑rich and interdisciplinary curricula); and (v) 2 or 3 of their most significant research publications, together with the names and contact information of at least three referees who can comment on their research, teaching and collaborative track record. Review of applications will commence as soon as possible and continue until June 30, 2027, or until the posts are filled, whichever is earlier.
The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency
