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Research Fellow (Smart & Green Navigation)

National University of Singapore
Queenstown
Experience0-1 years
Salary Not disclosed
LocationQueenstown
Job TypeFull time
Skills: Machine Learning Python
Job Description
Job Title: Research Fellow (Smart & Green Navigation) Company: National University of Singapore Job Category: Machine Learning Roles & Responsibilities: Job Title: Research Fellow (Smart \& Green Navigation) 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: 23/10/2026 Job Description ------------------- The Centre for Maritime Studies at the National University of Singapore (NUS) invites applications for the position of Research Fellow to support the development of innovative algorithms for the safe and energy\-efficient navigation of autonomous ships, alongside advanced ship emission modeling. The Research Fellow will be part of a multi\-disciplinary engineering team developing autonomous control algorithms that enable safe, efficient, and low\-emission navigation of vessels, to lay groundwork for applications in international shipping. Key Responsibilities Work Location: Queenstown, S00, Singapore Availability: Full time
Requirements
* PhD in Industrial Engineering, Marine Engineering, Operations Research, Energy Systems, or a related quantitative discipline. * Strong background in: autonomous systems, optimization modelling, control theory, data analytics and machine learning, uncertainty modelling. * Proficiency in programming (Python/MATLAB/R/Excel) for data analysis and modelling. * Familiarity with international maritime regulation (e.g. IMO COLREGS), maritime datasets (e.g., AIS, IHS, SeaWeb), vessel characteristics, or decarbonization technologies and measures is a strong plus. * Strong publication record, analytical skills, and ability to communicate with both academic and industry audiences. * Ability to work independently and collaboratively in a multi\-disciplinary environment. * ( Preferred* ) Knowledge of Singapore/Asia maritime ecosystem and related industry datasets. Key Skills: Machine Learning, Python Salary: Not disclosed
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