Research Fellow (Maritime Data Analytics and System Integration)

Job Description

The Research Fellow will work on a research project related to the big data driven vessel risk profile estimation and classification using Artificial Intelligence (AI)-based approaches. 
This project aims to develop an AI-based vessel risk assessment engine based on the massive complicated multi-source vessel risk dataset to determine the vessel risk levels. 
The job duties include establishing a multi-source vessel risk data mall, building AI engines, and  integrating the developed vessel risk assessment engine into a fully functional software that is ready for use for the industries.

Job Requirements

• PhD in Transportation Engineering, Computer Engineering/Science, Data Science related subjects 
• Experience in software development and user interface design.
• Ability to sophisticatedly use at least one programming language, e.g., Python, Java, Julia, C# and C++.
• Excellent interpersonal and communication skills.
• Excellent writing skills. 
• Good teamwork and leadership, self-manage and motivated, with minimum supervision.
• Open to fixed-term contract

Prioritized Requirements:

• Data mining and analysis, machine learning skills.
• Research experience on maritime risk assessment and big AIS data processing.
• Good publication record in international leading journals.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Civil and Environmental Engineering
Employee Referral Eligible: No
Job requisition ID: 22098