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Research Associate/Assistant/Engineer (Maritime Resilience and Digitalisation)

National University of Singapore · Queenstown Estate

Queenstown Estate · On-siteFull-TimePosted Feb 20, 2026

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Job description

Job Title: Research Associate/Assistant/Engineer (Maritime Resilience and Digitalisation) University-Level Unit: Centre for Maritime Studies Faculty/Department-Level Unit: Centre for Maritime Studies Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 20/02/2026 Job Description

Researcher in Maritime Trade and Industry Analysis

We are seeking a highly motivated Researcher to join our team and contribute to the field of maritime economics, digital efficiency, resilience, and digitalisation. This position involves an in-depth exploration of disruption scenarios involving the interplay between current global issues and the maritime industry, with a systems thinking approach. The successful candidate will leverage their expertise in economics, computing, and generative machine learning to construct scenarios semi-automatically.

Responsibilities:

  • Conduct rigorous research and workshops into the impact of global events on the maritime industry.

  • Apply systems thinking methodologies to analyse complex interactions and dependencies.

  • Analyse data and develop scenarios/simulations.

  • Develop and implement generative machine learning models to generate plausible scenarios.

  • Econometric modelling on manpower.

  • Model trade and shipping patterns.

  • Collaborate with a multidisciplinary team of economists, engineers, and maritime experts.

  • Publish findings in reputable journals and present at conferences.

  • Develop research multi-disciplinary research proposals for industry or grant calls.

Qualifications

  • Bachelor’s or Master’s degree in relevant discipline e.g. Economics, Engineering, Business or related field, with relevant experience, knowledge, or strong interest in maritime, trade, and/or supply chain
  • Experience or strong interest in computing, including programming (Python, R), statistical analysis, and generative machine learning techniques.
  • Strong analytical skills and a systemic perspective on problem-solving.
  • Excellent communication abilities for academic writing and presenting.

Join us in unravelling the maritime industry's future by examining it through an economic and computational lens. This is a unique opportunity to contribute to cutting-edge research and influence the strategic integration of digitalisation within the maritime sector.

More Information

Location: Kent Ridge Campus

Organization: Centre for Maritime Studies

Department : Centre for Maritime Studies

Employee Referral Eligible: No

Job requisition ID : 31820

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