Research Fellow (Simulation Modelling, Optimization and Analytics)

08 Sep 2023
End of advertisement period
08 Oct 2023
Contract Type
Fixed Term
Full Time

Job Description

  • Conduct research on simulation modelling, optimization and analytics for port operations Develop simulation models to study port operations and logistics
  • Analyze data from simulation models to derive insights and recommendations for improving port operations
  • Work with a team of researchers and engineers to implement artificial intelligence algorithms for port operations
  • Collaborate with stakeholders in the industry to understand the practical challenges and opportunities in port operations
  • Manage research projects, including defining project scope, timelines, and budgets
  • Publish research findings in peer-reviewed journals and present at conferences and workshops


  • PhD in computer science, operations research, industrial engineering or related field
  • Strong expertise in simulation modelling, including experience with simulation framework and software such as O2DES, simpy, FlexSim, AnyLogic, Simio, or Arena
  • Strong expertise in artificial intelligence, including experience with machine learning, natural language processing, and computer vision
  • Understanding of port operations, including shipping, logistics, and supply chain management
  • Excellent analytical skills and ability to work with large datasets
  • Strong programming skills in languages such as Python, Java, C# or C++
  • Strong project management skills, including experience with defining project scope, timelines, and budgets
  • Excellent communication skills, both written and verbal 

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Industrial Systems Engineering and Management
Employee Referral Eligible: No
Job requisition ID: 20005

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