Research Engineer

1 week ago


Singapore College of Design and Engineering Full time

**Posting Start Date**:05/02/2025
- We have an position for Artificial Intelligence & Modelling engineer in Centre of Excellence in Modelling and Simulation for Next Generation Ports, National University of Singapore (NUS). C4NGP aims to become the leading go-to global research centre in Modelling & Simulation in Next Generation Ports and Maritime Systems. This position provides an exciting opportunity to work with a dynamic team striving to achieve excellence in modelling, simulation, optimization and analytics for the next generation ports and maritime systems.
- We are seeking a passionate and self-motivated research Artificial Intelligence & Modelling engineer to join our team to work on logistics/maritime industry projects and support C4NGP investigators in their project management efforts.

**Job Requirements**

**Requirements**:

- Work with different teams to translate Artificial Intelligence into the simulation models. (Integrating and implementing AI algorithms and logic into the deliverables)
- Honours or higher degree in Electrical Engineering, Computer Engineering or any other relevant science and engineering disciplines.
- Familiar with multiple coding platforms (Python, C++, Javascript, Matlab, C#, etc)
- Skilful in mathematics especially probabilities & statistics.
- Excellent problem-solving skills.
- Proficient in writing and verbal communication skills.
- Self-driven, strong team spirit and self-exploration/learning habit.
Preferred Skills
- Land/Maritime and Port Logistics and Transportation, Supply Chain Network, Manufacturing.
- Simulation Modelling.
- Statistical Modelling.
- Data Mining and Analytics.
- Optimisation and Heuristics Algorithm Development.
- C#/JAVA/Python/R/MySQL Programming.
- Machine Learning.
- Artificial Intelligence.
- Operations Research.

**More Information**

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 27719



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