Research Associate, Centre for Maritime Studies
- 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.
- Master 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.
- 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.