Research Engineer (Artificial Intelligence & Modelling)

Interested applicants are invited to apply directly at the NUS Career Portal . Your application will be processed only if you apply via NUS Career Portal . We regret that only shortlisted candidates will be notified. Job Description We have a position for an Artificial Intelligence & Modelling Engineer in the 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 a self-exploration/learning habit. Preferred Skills: Good knowledge of the following subjects: 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. #J-18808-Ljbffr