Research fellow (Maritime Studies)

Job description

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 P roficient 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