
The HKUST Institute for Financial Research - Macro-Finance Research Center seeks one or more Post-Doctoral Fellows / Research Associates to join a research team working on quantitative macro-finance, with a strong emphasis on computational and machine-learning methods for solving and estimating macroeconomic and financial models.
Duration of appointment: 1-2 years (renewable)
Responsibilities
The successful candidate will:
• Develop and solve high-dimensional dynamic macroeconomic and asset pricing models using modern numerical and machine-learning techniques.
• Estimate structural and empirical models on large financial and macroeconomic datasets.
• Contribute to the Center's broader research activities, including drafting its annual report on the Chinese economy, building and maintaining the Center's data infrastructure, and supporting its other flagship publications.
• Help mentor junior research staff.
Applicants should possess:
• PhD (completed or expected before start) in Finance, Economics, or a related quantitative field.
• Strong numerical and computational skills, including machine-learning and deep-learning methods for solving dynamic models (e.g., neural-network solution methods, reinforcement learning, high-dimensional approximation).
• Advanced programming (Python, Julia, MATLAB, or similar) and experience with large datasets.
• Demonstrated capacity for independent, publishable research.
The starting salary will be commensurate with qualifications and experience, and fringe benefits, including annual leave and medical benefits, when applicable, will be provided.
Application Procedure
In support of a green work environment, we accept applications submitted online only. Interested candidates should complete the online application via Interfolio by clicking the “Apply Now” button on this page and submit a cover letter, CV, and job-market paper or writing sample (as a single PDF) . Applications will be reviewed on a rolling basis, and only shortlisted candidates will be notified of the outcome.
HKUST is an equal opportunities employer and is committed to our core values of inclusiveness, diversity, and respect.

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