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Search for University Jobs in Engineering

Job ID: 254660

Research Fellow (Transport engineering/ Maritime transport and management/ Computer science)
Nanyang Technological University


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Date Posted Mar. 21, 2025
Title Research Fellow (Transport engineering/ Maritime transport and management/ Computer science)
University Nanyang Technological University
Singapore, Singapore
Department School of Civil and Environmental Engineering
Application Deadline Open untill filled
Position Start Date Available Immediately
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  • Research Scientist/Associate
  • Transportation Engineering
 
 

One research fellow in Maritime Studies is available with flexible start time in the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU) is available. The appointment is normally for 1 year with a provision for further extensions subject to good performance and availability of research funding. Possible research topics include but are not limited to data analytics in maritime studies, big data in shipping, shipping and port management, and green shipping management. Other related and proper research topics are also welcome.

 

Key Responsibilities:

  • Develop state-of-the-art and innovative models and algorithms to improve port and shipping management efficiency;

  • Propose solutions based on data analytics and operations research to address maritime practical problems;

  • Develop mathematical models to model practical problems and choose proper solution approaches for solving the problem;

  • Conduct extensive numerical experiments to validate the performance of the proposed models;

  • Present the research results as academic papers and reports;

 

Job Requirements:

  • Must hold a PhD degree in transport engineering, maritime transport and management, computer science, or a related field from a good university;

  • Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages;

  • A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization;

  • Proficient in written and spoken English - essential for data analysis and communication with stakeholders

  • Experience in proposal writing and funding application is a plus.

 

We regret that only shortlisted candidates will be notified.

 

 


 
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