Job Details

Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science

🏛️ University of Hong Kong Hong Kong, Hong Kong 📍 USA 🗓️ Posted Nov 27, 2025 ⏳ Due Nov 22, 2026
Statistics

Description

Department: Department of Statistics and Actuarial Science, School of Computing and Data Science
Position Type: Full-Time (1.5-year term, renewable based on performance and funding)
Ref: 533742
Start Date: From 1 July 2026, or as soon as possible
Category: Senior Research Staff & Post-doctoral Fellow
Posted: 11/22/2025


Required Qualifications

  • Ph.D. in Mathematics, Statistics, Actuarial Science, Mathematical Finance, Quantitative Risk Management, or a related field.

  • Relevant research experience in probability, stochastic analysis, and optimization.

  • Preferred qualifications include:

    • Knowledge of machine learning

    • Publications in top journals within Actuarial Science, Mathematical Finance, or Operations Research


Research Focus

The appointed candidate will join Professor Alfred Chong’s research group.
Potential research areas include, but are not limited to:

  • Holistic risk management strategies

  • Forward preferences

  • Reinforcement learning

  • Centralized and decentralized risk sharing

For inquiries about the position, applicants may contact Professor Alfred Chong at chongwf@hku.hk.


Application Requirements

Applicants should submit:

  1. Cover letter

  2. Up-to-date curriculum vitae (including detailed research experience and publication record)

  3. Contact information for two referees


Compensation and Benefits

  • Competitive salary based on qualifications and experience

  • Annual leave entitlement

  • Medical benefits included


Application Review

  • Review of applications will begin immediately

  • Applications will continue to be considered until 30 April 2026 or until the position is filled, whichever is earlier


Equal Opportunity Statement

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