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.
. 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
. 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.
Department : Civil and Environmental Engineering
Employee Referral Eligible: No
Job requisition ID : 22098
The National University of Singapore (NUS) is a national research university in Queenstown, Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS has consistently been considered as being one of the top and most prestigious academic institutions in the world as well as in the Asia-Pacific itself. It plays a key role in the further development of modern technology and science, offering a global approach to education and research, with a focus on expertise and perspectives of Asia. In 2022, the QS World University Rankings ranked NUS 11th in the world and first in Asia.