Postdoctoral Fellow

at  Lee Kuan Yew School of Public Policy

Posting Start Date: 06/08/2024
Job Description:

JOB DESCRIPTION

We are looking for a full-time Postdoctoral Fellow to work on projects on international finance, public finance, sustainable finance or household finance. The Principal Investigators of this project are at Lee Kuan Yew School of Public Policy.

The candidate will oversee day-to-day activities and the general management of assigned research projects. These responsibilities include:

• Conducting academic research on topics related to international finance, public finance, sustainable finance or household finance, especially their interaction with public policy.
• Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include regression discontinuities, difference-in-difference analyses, machine learning, among others.
• Working with team members to extract, process, and filter information from various text resources and construct new datasets.
• Processing, cleaning, and merging datasets (e.g., using R, Python, Stata, and/or SAS).
• Coordinating and supervising research assistants to help in the responsibilities stated above.

REQUIREMENTS

• A PhD degree in econometrics, economics, finance, or other related fields.
• Experience of conducting interdisciplinary research. Relevant experience in international finance, public finance, household finance and sustainable finance would be a plus.
• Familiar with statistical software such as STATA, R, or Python, advanced programming skill is a plus.
• Responsible, detail oriented, and perfection-seeking.
• Quick in learning and creative in providing solutions.
• Independent, self-starter with initiative and commitment.
• Enjoys interacting with people and open to new experiences.
• Must have the ability to proactively manage teams of research assistants across on multiple research activities.

• Conducting academic research on topics related to international finance, public finance, sustainable finance or household finance, especially their interaction with public policy.
• Integrating existing literature to propose research ideas and hypotheses, develop and implement empirical analysis using various statistical software. Methodologies used include regression discontinuities, difference-in-difference analyses, machine learning, among others.
• Working with team members to extract, process, and filter information from various text resources and construct new datasets.
• Processing, cleaning, and merging datasets (e.g., using R, Python, Stata, and/or SAS).
• Coordinating and supervising research assistants to help in the responsibilities stated above