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Research Fellow (Maritime Data Analytics and System Integration)

Closing date
27 Dec 2023

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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