Job Description
We are seeking multiple full-time Research Assistant(s) who will assist with quantitative data analysis in ongoing projects on the economics and demography of aging, pensions and retirement, as well as health of the elderly. The projects are part of a large 5-year research program (2024-2028) which has collaborators in Singapore and the United States. The Principal Investigator of this project is located at Lee Kuan Yew School of Public Policy.
The successful candidate(s) must demonstrate competence in quantitative research methods using STATA or R, as well as the ability to work independently with minimal supervision. Excellent written and spoken English is essential. Research interest and experience in one or more of the above-listed areas on economics and demography of aging, OR pensions and retirement, OR health of older adults is a plus.
This position caters to individuals who are looking to further their skillsets and analytical training to develop a career or pursue further studies in the fields of applied economics or public policy research. As such, we require a minimum of one year of past research work experience as full-time Research Assistant. Please state this work experience clearly in your cover letter. This position is not suitable for fresh graduates or those with part-time/ad-hoc research experience only.
Interested applicants are invited to send the following list of documents via the NUS Career Portal:
Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.
The earliest start date of the appointment is May 2025. Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will be contacting you directly for an interview.
Location: Bukit Timah Campus
Organization: Lee Kuan Yew School of Public Policy
Department: Research Team
Job requisition ID: 28305
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.