Maritime Digitalisation & Supply Chain Researcher

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore's Centre for Maritime Studies invites a Research Associate/Assistant/Engineer to contribute to studies on trade connectivity, digitalisation, and resilience in maritime supply chains. You will work with industry partners to analyze business processes, data, and interview insights, applying economic and computational methods.

The role involves developing scenarios, financial and analytical models, and disseminating results through journals and conferences,

Qualifications

• Bachelor’s or Master’s degree in Economics, Engineering, Business or related field with interest in maritime/trade/supply chain.
• Experience or interest in computing, programming (Python, R) and generative ML techniques.
• Strong analytical skills and ability to communicate academically.

Responsibilities

• Conduct rigorous research and industry workshops.
• Apply systems thinking to analyze complex interactions and dependencies.
• Analyze data and develop scenarios and simulations.
• Perform financial and analytical modelling.
• Collaborate with industry and multidisciplinary research teams.
• Publish findings in journals and present at conferences.
• Develop research proposals for industry or grants.

Skills

Python

R

Analytical thinking

Systems thinking

Academic writing

Communication

Education

Bachelor’s or Master’s degree in Economics/Engineering/Business or related field

Tools

Python

R

Statistical analysis

Job description

The National University of Singapore's Centre for Maritime Studies invites a Research Associate/Assistant/Engineer to contribute to studies on trade connectivity, digitalisation, and resilience in maritime supply chains. You will work with industry partners to analyze business processes, data, and interview insights, applying economic and computational methods.

The role involves developing scenarios, financial and analytical models, and disseminating results through journals and conferences,