Research Fellow: Carbon Pricing & Global Supply Chains

ECADIN; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The Centre for Sustainable Finance Innovation (CSFI) at NTU invites applications for a Research Fellow to study how carbon pricing and climate policies shape firm decisions and global supply chains. You will conduct empirical analyses and develop econometric models using large multi-source datasets.

Collaborating with the Principal Investigator and international partners, you will contribute to high-quality academic outputs and publications in top journals, applying Python and Stata to complex

Qualifications

• PhD degree in finance, economics, accounting, business, statistics, data science, or closely related field.
• Strong training in empirical research methods and econometric analysis with experience using large-scale datasets.
• Proficiency in Python and/or Stata for data management and analysis.
• Experience merging and managing large datasets from multiple sources (firm, supply chain, policy, financial data).
• Excellent written and oral communication skills.

Responsibilities

• Conduct empirical research on how carbon pricing and climate policies affect firms’ sourcing decisions and global supply chains.
• Construct and manage large-scale datasets by integrating multi-source data.
• Develop econometric models to examine effects of carbon pricing on supply chain restructuring and firm performance.
• Perform data management, statistical analyses, robustness tests, and prepare research outputs (tables, figures, visuals).
• Collaborate with the PI, project team, and international partners on research activities.

Skills

Python

Stata

Econometric analysis

Empirical research methods

Data management

Academic writing

Education

PhD in finance/economics/business/related field

Tools

Python

Stata

Job description

The Centre for Sustainable Finance Innovation (CSFI) at NTU invites applications for a Research Fellow to study how carbon pricing and climate policies shape firm decisions and global supply chains. You will conduct empirical analyses and develop econometric models using large multi-source datasets.

Collaborating with the Principal Investigator and international partners, you will contribute to high-quality academic outputs and publications in top journals, applying Python and Stata to complex