Research Fellow: Carbon Pricing & Global Supply Chains

Nanyang Technological University Singapore; Singapore; On-site; SGD 65,000 - 95,000; Full time

Job summary

CSFI at Nanyang Technological University Singapore seeks a Research Fellow to advance empirical research on how carbon pricing and climate policies shape firms’ decisions and global supply chains. You will manage large datasets, build econometric models, and contribute to high-quality academic outputs.

The role requires a PhD in a related field, strong empirical methods, and proficiency in Python and/or Stata.

Qualifications

• PhD-level training in empirical research and econometric analysis.
• Experience handling large firm-level or related datasets.
• Strong written and oral communication abilities.

Responsibilities

• Conduct empirical research on how carbon pricing and climate policies affect firms' sourcing decisions and supply chains.
• Construct and manage large datasets from multiple sources for econometric analysis.
• Develop econometric models to study carbon pricing effects on firm behavior and sustainability.
• Prepare research outputs with tables, figures, and visualizations for journals and conferences.
• Collaborate with the project team and international partners on research activities.
• Contribute to developing research papers and peer-reviewed publications.

Skills

Empirical research methods

Econometric analysis

Large-scale data analysis

Python

Stata

Communication skills

Independent work

Education

PhD in finance, economics, accounting, business, statistics, data science, or related field

Tools

Python

Stata

Job description

CSFI at Nanyang Technological University Singapore seeks a Research Fellow to advance empirical research on how carbon pricing and climate policies shape firms’ decisions and global supply chains. You will manage large datasets, build econometric models, and contribute to high-quality academic outputs.

The role requires a PhD in a related field, strong empirical methods, and proficiency in Python and/or Stata.