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:
  • Investigating reason for ship stoppages
  • Predicting behaviour of vessels
  • Predicting number and type of tugboats required
  • Vessel routing based on weather
  • Sea fog prediction
• 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.

Good knowledge on the following subjects: Land/Maritime and Port Logistics and Transportation. 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.

Qualifications

• PhD 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.