Research Associate, Warehouse Systems

15 Oct 2021
End of advertisement period
14 Nov 2021
Contract Type
Full Time

Job Description

  • Collaborating with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to the following areas:
  • Providing intelligent solutions for urban transportation related topics.
  • Development of sophisticated algorithms to solve complex optimization problems.
  • Development of Simulation and Optimization Platform.
  • Scheduling and planning of Vehicles or Autonomous vehicles.
  • Investigating advanced automation technology (for warehouse, manufacturing, maritime system…etc.).
  • Warehouse Layout design and Capacity analysis.
  • Developing Real Time decision supporting toolbox. 
  • Contribute to academic research in the relevant domains, and publish high-tier journal papers and conference papers.
  • Lead student projects and industrial projects with implementable outcomes.
  • Respond to the deliverables of research and industrial projects, including Proposal and Report writing, presentations of results and outcomes.



  • Honours or higher degree in Industrial Engineering, Computer Science, Operations Research, Statistics and Mathematics, or in other relevant science and engineering disciplines.
  • Outstanding data analytics, mathematical, and computer modelling skills.
  • Outstanding academic/publication records.
  • Proficient in communication and academic writing.
  • Self-driven and strong team spirit.

Preferred Skills

  • Good knowledge on the following subjects:
  • Land/Maritime and Port Logistics and Transportation, Supply Chain Network, Manufacturing.
  • Simulation Modelling.
  • Statistical Modelling.
  • Data Mining and Analytics.
  • Optimisation and Heuristics Algorithm Development.
  • C#/JAVA/Python/R/MySQL Programming.
  • Machine Learning.
  • Artificial Intelligence.
  • Operations Research.
  • High-tier journal publication potential.

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Industrial Systems Engineering And Management
Employee Referral Eligible: No

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