Research Fellow (Maritime Resilience and Digitalisation)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Maritime-Resilience-and-Digitalisation%29/29042-en_GB/

We regret that only shortlisted candidates will be notified.

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

• PhD 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.