Research Fellow (Maritime Studies)

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is seeking a Research Fellow in Maritime Studies. The role involves conducting significant research in maritime transport, publishing findings, and collaborating with other researchers. Candidates must hold a Ph.D. in a relevant field and have excellent programming and communication skills. This is a one-year appointment with the possibility of extension based on performance.

Qualifications

• Strong programming skills required for research-related tasks.
• Proven record of publications in relevant fields is a must.
• Fluency in English for effective communication.

Responsibilities

• Conduct research in maritime transport and decarbonisation.
• Publish findings in peer-reviewed journals.
• Collaborate with researchers on project discussions.

Skills

Programming skills (Python, Matlab, C++)

Excellent oral communication skills

Familiarity with machine learning algorithms

Education

Ph.D. degree in maritime transport, marine technology, computer science, or related field

Job description

We are looking for a Research Fellow in Maritime Studies to work in the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU) with a flexible start time. The appointment is for 1 year with a provision for further extensions, subject to good performance and availability of research funding.

Key Responsibilities:

• Conduct research in maritime transport, maritime decarbonisation and digitalisation, methodology development and applications
• Publish findings in top peer-reviewed journals and conference proceedings
• Collaborate with other researchers on project discussions and joint deliverables
• Coordinate the preparation of project reports and deliverables
• Support the preparation of research proposals and grant applications

Job Requirements:

• Must hold a Ph.D. degree in maritime transport, marine technology, computer science, or a related field;
• Excellent programming skills, such as Python, Matlab, C++, or other computer languages;
• A record of publications in reputable peer-reviewed journals or conferences in the fields of maritime transport, ocean engineering, naval architecture, and computer science;
• Familiarity with ship data processing, ship performance analysis, machine learning algorithms (Deep learning, Reinforcement learning, etc.);
• Proficiency in written and spoken English - essential for data analysis and communication with stakeholders
• Excellent oral communication skills.

We regret to inform that only shortlisted candidates will be notified.