Carbon Pricing Research Fellow — Supply Chains & Data

ntu; Singapore; Sur place; SGD 60 000 - 90 000; Plein temps

Résumé du poste

NTU's Centre for Sustainable Finance Innovation (CSFI) invites applications for a Research Fellow to advance empirical research on carbon pricing, climate policy, and global supply chains. You will handle large-scale data, build econometric models, and contribute to peer-reviewed publications.

The role emphasizes data integration from firm-, policy-, and financial-level sources, rigorous analysis, and collaboration with an international scholarly team under the Principal Investigator's guidance.

Qualifications

• PhD in finance, economics, accounting, business, statistics, data science, or a closely related field.
• Strong training in empirical research methods and econometric analysis with large-scale datasets.
• Experience merging and managing large datasets from multiple sources (firm, supply chain, policy, finance).

Responsabilités

• Conduct empirical research on how carbon pricing and climate policies affect firms' sourcing decisions and supply chains.
• Construct and manage large-scale datasets from firm-level, supply-chain, country-level policy, climate, and financial sources.
• 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 collaborators on research activities.
• Contribute to development of research papers, presentations, and academic outputs from the project.

Connaissances

Empirical research

Econometrics

Data analysis

Python

Stata

Formation

PhD in finance/economics/business/statistics

Outils

Python

Stata

Description du poste

NTU's Centre for Sustainable Finance Innovation (CSFI) invites applications for a Research Fellow to advance empirical research on carbon pricing, climate policy, and global supply chains. You will handle large-scale data, build econometric models, and contribute to peer-reviewed publications.

The role emphasizes data integration from firm-, policy-, and financial-level sources, rigorous analysis, and collaboration with an international scholarly team under the Principal Investigator's guidance.