Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
Job Description
I am looking for one highly skilled and motivated individuals to work with me as full-time research professionals for a period of at least one year. The start date is subject to negotiation, but may be as early as 1 March 2024.
You will work with NUS Business School Professor Karsten Müller at the Department of Finance. For the most part, you will support Karsten’s ambitious research agenda on the link between credit markets and the real economy. This work uses macro and micro data and cutting-edge statistical methods to understand the drivers and consequences of who in the economy receives credit. Among other things, you will help to (a) construct novel data sources to measure credit market conditions, (b) analyse data to document the role of credit markets in recessions and stock market crashes, and (c) analyse the effectiveness of financial policies and credit subsidies in stimulating economic growth.
You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers. This position is ideal for individuals with strong interpersonal skills, the ability to manage themselves and others, and an interest in economic research.
The position is based in Singapore. A successful candidate will be able to participate in the academic life at NUS, including the ability to attend research seminars and potentially PhD courses. I will support you in achieving your interests and goals, which for many candidates will mean applying to world-leading Master’s and PhD programmes, policy organizations, or industry jobs. NUS provides equal employment opportunities to all employees, applicants, and job seekers.
Qualifications
Ideal candidates will:
(i) have a strong background in economics, finance, or a related field;
(ii) have proven organizational skills;
(iii) be able to work independently to solve problems; and
(iv) are highly organized and pay attention to details.
A background in economics or finance is a plus but not necessary. The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed.
Candidates should submit the following documents:
• Cover letter and resume
• Transcripts from previous academic programs, where relevant
• If available: A research paper (undergrad thesis, term paper, etc.)
• If available: Sample of code (ideally for same paper)
Applications will be reviewed on a rolling basis.
