Postdoctoral Fellow: Geospatial Trade Analytics & AI

National University of Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

The National University of Singapore's Geography Department invites applications for a Postdoctoral Fellow to investigate RCEP impacts on ASEAN trade using geospatial big data analytics and visual tools. Start date is 1 November 2026, with a one-year contract renewable based on performance.

Applicants should hold a PhD or equivalent, with strong background in GIS, networks, economics, or computer science, and experience in AI, geovisual analytics, and advanced econometric techniques.

Qualifications

• PhD or equivalent professional qualifications and relevant research experience in GIS/complex networks/economics/computer science/statistical/mathematical disciplines.
• Strong experience in AI agents, geovisual analytics, difference-in-differences, gravity modelling, network analysis, and graph neural networks with domain knowledge in international trade networks, global value chains, and supply chains would be advantageous.

Responsibilities

• Conduct high-impact research on how RCEP impacts ASEAN trade using geospatial big data analytics and visual analytics.
• Collaborate with interdisciplinary teams, publish findings, and present at conferences.
• Lead and contribute to innovative methodologies and models for spatial economics and trade analysis.

Skills

GIS

Complex networks

Economics

Computer science

Statistics / Mathematics

AI agents

Geovisual analytics

Difference-in-differences

Gravity modelling

Network analysis

Graph neural networks

International trade networks

Global value chains

Supply chains

Education

PhD or equivalent

Job description

The National University of Singapore's Geography Department invites applications for a Postdoctoral Fellow to investigate RCEP impacts on ASEAN trade using geospatial big data analytics and visual tools. Start date is 1 November 2026, with a one-year contract renewable based on performance.

Applicants should hold a PhD or equivalent, with strong background in GIS, networks, economics, or computer science, and experience in AI, geovisual analytics, and advanced econometric techniques.