Research Associate (Behavioral Economics)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A renowned educational institution in Singapore seeks a Research Associate to join the Experimental Economics group. The role involves managing projects, conducting research in experimental finance, and programming experiments in Python. Ideal candidates hold an MSc in Economics or a related field and possess strong skills in econometrics and software development. This position offers the opportunity to contribute to groundbreaking research and collaborate with a dynamic team.

Qualifications

• Completed a MSc in Economics or similar research degree.
• Demonstrated knowledge of experimental economics and asset pricing.
• Ability to conduct independent research and manage research papers.
• Experience working as part of a research team.

Responsibilities

• Manage research projects from conceptualization to publication.
• Conduct research on experimental finance topics.
• Program experiments using z-tree, Python, and o-Tree.
• Compile, process, and analyze data using econometrics software.

Skills

Knowledge of experimental economics

Strong skills in econometrics and quantitative methods

Programming skills in Python

Software engineering experience

Education

MSc in Economics or equivalent research degree

Tools

STATA

R

Ztree

Otree

Job description

The NTU Centre in Computational Technologies for Finance (CCTF) is a newly created Pan-University Centre co-managed by the College of Engineering (CoE) and Nanyang Business School (NBS), to coordinate and support the University’s Blockchain initiatives, activities and programmes.

The Research Associate will be part of the NTU's Experimental Economics group in the Economics Programme at the School of Social Sciences. The team focuses on lab experiments simulating behavioral games and asset market experiments to study strategic behavior, prosocial preferences, asset bubbles and the impact of AI on human behavior. Using quantitative methods, econometrics, and statistics.

Key Responsibilities

• Managing research projects with a team of faculty and students at NTU, from conceptualization to publication.

• Conducting research on topics related to experimental finance and asset markets.

• Programming experiments with z-tree, Python, and o-Tree.

• Experience in running computerized laboratory economic experiments.

• Performing research duties (e.g., IRB protocol, submitting reimbursement requests, database management, data entry, and data coding)

• Assisting with organizing and implementing lab economics and behavioral experiments.

• Preparing the logistics for lab and field economics and behavioral experiments.

• Compiling, processing, and analyzing data from the experiments using statistics and econometrics software STATA and (or) R.

• Engaging in academic activities (proofreading, preparing reports, grants, and present findings).

• The research associate is expected for write one paper independently, and completes one to two working papers with the PI.

• The research associate should also provide support to the operation of the project, and help organize group meeting and conferences when needed.

Job Requirements

• preferably has completed a Msc in Economics or Master by Research in Economics, behavioral and experimental economics in particular, candidates applying for Ph.D. in Economics will also be considered

• has demonstrated knowledge of experimental economics generally, and the behavioral bias, heterogenous agents model, asset pricing and decision making in the financial market in particular

• has demonstrated ability to conduct independent economic research and assume responsibility for the development and completion of research papers

• has demonstrated ability to work as part of a research team, and work with other members of staff to meet the aims and deadlines of a project

• has a track record in research

• has demonstrated knowledge of theoretical models in behavioral economics and finance

• has strong skills in econometrics and quantitative methods

• has strong software engineering experience, including mastering key programming languages such as Python, Matlab, R, and the software for experimental economics, Ztree, Otree.