Research fellow (Maritime Studies)

The school of Civil and Environmental Engineering (CEE) is looking for a motivated research fellow holding a PhD degree specializing in maritime studies, transportation/logistics, operations research, computer science, or a related field. The appointment is typically for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities - Conduct research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization) - Coordinate the preparation of project reports and deliverables - Publish research findings in top peer-reviewed journals and conference proceedings - Collaborate with other researchers on project discussions and joint deliverables - Support the preparation of research proposals and grant applications Job Requirements - A PhD degree in transport engineering, maritime transport and management, computer science, operations research, or a related field from a recognised university - Strong expertise in applying large language models (LLMs) and AI techniques to prediction and optimization problems; familiarity with optimization algorithms is highly desirable - Excellent programming skills in Python, C++, Java, Julia, or other relevant languages - Knowledge of maritime decarbonization and alternative fuels is a plus - A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization - Proficient in both written and spoken communication - Strong interpersonal skills, with the ability to work independently and deliver solutions under tight timelines - Experience in proposal writing and funding application We regret that only shortlisted candidates will be notified. Hiring Institution: NTU

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