Research Fellow (Simulation Modelling, Optimization and Analytics)

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

Qualifications

• 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