Post-doctoral Fellow in Statistics, University of Hong Kong (HKU)

Post-doctoral Fellow Position in Hong Kong, University of Hong Kong

Post-doctoral Fellow in Statistics: The University of Hong Kong is seeking a dedicated Post-doctoral Fellow to join the Department of Statistics and Actuarial Science. The position is set to commence from July 1, 2026, on a 1.5-year term with a possibility of renewal, focusing on advanced research in statistical and actuarial sciences.

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

Designation

Post-doctoral Fellow

Location

The University of Hong Kong (HKU)

Eligibility/Qualification

RequirementDetails
EducationPh.D. in Mathematics, Statistics, Actuarial Science, Mathematical Finance, Quantitative Risk Management, or a related field.
Research ExperienceRelevant research experience in probability, stochastic analysis, and optimization.
Additional SkillsKnowledge in machine learning and a track record of publications in top Actuarial Science, Mathematical Finance, or Operations Research journals preferred.

Research Area

  • Holistic risk management strategies
  • Forward preferences
  • Reinforcement learning
  • Centralized and decentralized risk sharing

Job Description

The appointee will conduct research under the supervision of Professor Alfred Chong. Responsibilities include:

  • Engaging in innovative research projects focused on the specified research areas.
  • Contributing to scholarly publications and academic discourse.
  • Collaborating with interdisciplinary teams within the School of Computing and Data Science.

How to Apply

Interested applicants should submit:

  • A cover letter
  • An up-to-date CV including detailed research experience and publication record
  • Contact information for two referees

Inquiries about the position can be directed to Professor Alfred Chong at chongwf@hku.hk.

Last Date for Apply

Applications will be accepted until April 30, 2026, or until the position is filled, whichever is earlier.


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

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