"Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742)"

Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742)

Applications are invited for appointment as Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science, to commence from 1 July 2026, or as soon as possible, on a 1.5-year term, with possibility of renewal subject to satisfactory performance and funding availability.

Applicants should hold a Ph.D. degree in Mathematics, Statistics, Actuarial Science, Mathematical Finance, Quantitative Risk Management, or a related field. Candidates must possess relevant research experience in probability, stochastic analysis, and optimization. Applicants with knowledge in machine learning, as well as a track record of publications in top Actuarial Science, Mathematical Finance, or Operations Research journals are preferred.

The appointee will conduct research in Professor Alfred Chong’s group. Potential topics include, but are not limited to, holistic risk management strategies, forward preferences, reinforcement learning, as well as centralized and de-centralized risk sharing. Inquiries about the position should be directed to Professor Alfred Chong at chongwf@hku.hk.

A highly competitive salary, commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Applicants should submit a cover letter, an up-to-date C.V. that includes detailed research experience and publication record, and contact information for two referees. Review of applications will begin as soon as possible and continue until 30 April 2026, or until the position is filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency.

Advertised: Nov 21, 2025 (HK Time)
Applications close: Apr 30, 2026 (HK Time)