Research Associate – Department of Mathematics, Statistics and Insurance
About the University
The Hang Seng University of Hong Kong (HSUHK) is a non-profit private liberal-arts-oriented university with six Schools (Business, Communication, Decision Sciences, Humanities and Social Science, Translation and Foreign Languages, and Transdisciplinary Studies), and over 7,000 full-time undergraduate and postgraduate students. With its unique “Liberal + Professional” education model, HSUHK nurtures young talent with critical thinking, innovative minds, caring attitudes, moral values and social responsibility.
Aspiring to be a leading private university in the region, HSUHK prioritises stellar undergraduate education, top-quality faculty members, award-winning green campus facilities, innovative degree programmes, a unique residential college system that combines living and learning, interactive small-class teaching, close student-teacher relationships, impactful research, and excellent student development and support services.
HSUHK has earned various international recognitions. In the AppliedHE’s ALL ASIA Private University Ranking 2026, it secured 7th place in China. HSUHK ranked 23rd in both Business and Management and Economics and Finance and 24th in Social Sciences and Humanities among China’s top universities in the Research.com Top Universities and Top Scientists Rankings 2026. The MSc in Global Supply Chain Management programme achieved 84th place globally in the QS International Trade Rankings 2025. Additionally, HSUHK’s School of Business obtained AACSB International accreditation in 2023, a mark of excellence held by only 6% of the world’s leading business schools. HSUHK was also ranked among the top 200 worldwide on “Quality Education” and “Decent Work and Economic Growth” in the Times Higher Education University Impact Rankings 2021.
The University now invites application for the Research Project “Nonconvex Penalty Methods for Mix Sparse Optimization and Its Applications”, funded by the Research Grants Council:
Research Associate – Department of Mathematics, Statistics and Insurance
(Ref: RAsso (MSI - UGC/FDS14/P01/25) 2026-06-26)
Responsibilities
The appointee will assist the project leader in developing optimisation models and implementing algorithms. He/she will be required to conduct data analysis using software applications.
Applicants Should
- possess a master’s degree, preferably with a doctoral degree, in Mathematics, Operations Research or related disciplines;
- be proficient in at least one programming language such as R, MATLAB, and C/C++;
- have a strong sense of responsibility, good organisational skill and be able to work independently; and
- have a good command of written and spoken English and Chinese.
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