Research Assistant, Department of Accounting

Job Description

We are looking for one or two highly skilled and motivated individuals to work as full-time research professionals at the National University of Singapore's business school for one year. The start date is flexible. The full-time position’s compensation is highly competitive. We will also help sponsor working visa (i.e., Employment Pass).

This position is ideal for individuals with a long-term interest in economics/finance/accounting research. We welcome students who want to apply for/switch to Ph.D. programs in accounting, finance, economics, or any other fields at the business school. A successful candidate can participate in the academic life at NUS Business School, including attending research seminars and Ph.D. courses. We will also provide mentorship and guidance for applying to NUS Ph.D. and other leading business Ph.D. programs.

The research projects will broadly revolve around ESG, social media/network and banking. You will work with us on various tasks, including data collection and analysis, managing large data sets, statistical programming and data visualization, conducting literature reviews, summarizing research findings, and editing research papers.

NUS provides equal employment opportunities to all employees, applicants, and job seekers. At NUS, the health and safety of our staff and students are one of our utmost priority and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require significant physical interactions with students / staff / public members. Even for job roles that can be performed remotely, there will be instances where on-campus presence is required. Successful applicants must abide by national measures. They will also be required to adhere to advisories from the relevant Ministries and NUS at all times.

More Information

Qualifications

Ideal candidates will:

• have a solid quantitative background (incl. statistics and econometrics); 
• have strong programming skills (extensive experience with either Stata, R, SAS, or Python is a must);
• be able to work independently to solve problems;
• have a long-term interest in pursuing a Ph.D. degree at a business school.

- be well organized and pays attention to details 


The ideal candidate will be highly motivated and self-directed, adept at learning new technical skills when needed.

If interested, please send an email to aaron@nus.edu.sg with the following documents:

• A CV/resume.
• A short letter describing:
• past research projects
• how many hours you can work each week and when you can start to work as a full-time research assistant
• relevant classes that you have taken (e.g., economics, statistics etc.)
• A research paper (undergrad thesis, master thesis, etc.)
• Sample of code (Stata, Python, R, SAS, etc) - [REQUIRED]

Applications will be reviewed on a rolling basis.