Job Description

The research engineer will work on a research project related to the big data driven vessel risk profile estimation and classification using Artificial Intelligence (AI)-based approaches. The first research focus of this project is to establish a multi-source vessel risk data mall. The multi-source data fusion approach will be conducted to establish a comprehensive vessel risk data mall. Alternatively, the unstructured text data in accident report could be mined with Natural Language Processing (NLP) techniques to validate the performance of our proposed multi-source data fusion method. To reduce the dimensionality and remove redundant information on the vessel risk profile, feature selection methods will also be utilised. The second research focus of this project is to develop an AI-based vessel risk level assessment engine. AI-based vessel risk assessment models will be developed, and the most significant contributing factors to vessel risk level will be identified.

Job Requirements

• Possess a Bachelor/ Master in Transportation, Computer Engineering/Science.
• Experience in AIS data mining and fusion for maritime studies or related maritime projects.
• Experience in developing/applying data-driven models in transportation research.
• Ability to sophisticatedly use at least one programming language, e.g., Python, R, Java, SQL, Julia, C# and C++.
• Excellent interpersonal and communication skills.
• Good team work and leadership, self-manage and motivated, with minimum supervision.
• Good written and spoken communication.
• Research experience on maritime risk assessment and big AIS data processing.
• Good publication record in international leading journals and/or highly-recognized records of platform/UI development.
• Open to fixed-term contract

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Civil and Environmental Engineering
Employee Referral Eligible: No
Job requisition ID : 18418