The Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology (HKUST) is offering PhD positions within its Business Statistics Group. This program provides rigorous training in mathematical statistics and its applications to finance, economics, and data science. Students will engage in research areas such as financial econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory, and stochastic processes, working closely with internationally recognized faculty. The PhD program consists of a 2-year MPhil phase focused on foundational coursework and a 3-year PhD phase dedicated to academic research and dissertation writing. Applicants should have a strong background in mathematics, probability theory, and statistics, with an interest in applying statistical models to finance and economics. The program offers a vibrant research community and a beautiful campus environment in Hong Kong. MPhil and PhD students receive a tax-exempt stipend of HK$19,135 per month, with outstanding candidates eligible for the Hong Kong PhD Fellowship Scheme, which increases the stipend to HK$28,400 per month plus additional benefits. Applications must be submitted online via the Graduate School portal by December 1, including all required documents such as a motivation letter, CV, transcripts, degree certificates, research proposal, recommendation letters, proof of English proficiency, and GMAT/GRE scores. For informal inquiries, contact Prof. Carsten Chong at [email protected].

[Tax-exempt stipend of HK$19,135 per month (approx. £2,014.82). Hong Kong PhD Fellowship Scheme (HKPFS) offers HK$28,400 per month plus additional benefits for outstanding candidates.] The Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology (HKUST) is inviting applications for PhD positions in the Business Statistics Group. This program offers rigorous foundational training in mathematical statistics and its applications to finance, economics, and data science. Students will have the opportunity to work closely with internationally recognized faculty, engaging in cutting-edge research in areas such as financial econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory, and stochastic processes. The PhD program consists of a two-year MPhil phase focused on coursework and research skill development, followed by a three-year PhD phase dedicated to academic research and dissertation writing. The program is designed for students with a strong background in mathematics, probability theory, and statistics. While prior experience in finance and economics is not mandatory, an interest in applying statistical models to these fields is highly valued. HKUST offers a vibrant research community and a beautiful campus located by the sea in Hong Kong, providing an inspiring environment for academic growth. All MPhil and PhD students receive a tax-exempt stipend of HK$19,135 per month (approximately £2,014.82). Outstanding candidates are encouraged to apply for the Hong Kong PhD Fellowship Scheme (HKPFS), which increases the monthly stipend to HK$28,400 and provides additional benefits. To apply, candidates should submit their applications via the Graduate School's online portal by December 1, indicating Operations Management (Business Statistics) as their primary area. Required documents include a letter of motivation, CV, transcripts, degree certificates, research proposal, 1-3 academic letters of recommendation, proof of English proficiency (TOEFL/IELTS), and standardized test results (GMAT or GRE). For further details on English proficiency and test requirements, please refer to the provided links. For informal inquiries, contact Prof. Carsten Chong at [email protected]. Administrative questions can be directed to the postgraduate office via http://pg.ust.hk/enquiry. This is an excellent opportunity for motivated students to join a world-class research program in business statistics at one of Asia's leading universities.