Research Fellow (Maritime Data Analytics and System Integration)

27 Nov 2023
End of advertisement period
27 Dec 2023
Contract Type
Fixed Term
Full Time

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

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