Maritime Decarbonization Analytics Fellow

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading research university in Singapore is seeking a Research Fellow to support analytical and modeling work in maritime decarbonization. The role focuses on quantitative analysis of fleet operations and energy transition strategies. The ideal candidate will hold a PhD in a relevant field and have a strong background in optimization modeling and data analytics. Responsibilities include developing models for fleet renewal and conducting scenario-based energy transition analyses.

Qualifications

• PhD in Industrial Engineering, Operations Research, Maritime Studies, or a related quantitative discipline.
• Strong background in optimization modelling, data analytics, and machine learning.
• Proficiency in programming for data analysis and modelling.

Responsibilities

• Develop analytical & optimization models for fleet renewal and fuel switching.
• Conduct scenario-based analysis of maritime energy transition pathways.
• Analyze vessel movement data using statistical and machine learning techniques.

Skills

Optimization modelling

Data analytics

Machine learning

Uncertainty modelling

Programming (Python/MATLAB/R/Excel)

Education

PhD in Industrial Engineering or related field

Tools

Python

MATLAB

R

Excel

Job description

A leading research university in Singapore is seeking a Research Fellow to support analytical and modeling work in maritime decarbonization. The role focuses on quantitative analysis of fleet operations and energy transition strategies. The ideal candidate will hold a PhD in a relevant field and have a strong background in optimization modeling and data analytics. Responsibilities include developing models for fleet renewal and conducting scenario-based energy transition analyses.