(Principal) Scientist, Intelligent Transportation Solutions, I2R

About the role

This work contributes directly to strengthening Singapore's position as a future-ready global aviation hub, enabling more efficient, resilient, and intelligent airport operations through data-driven research and operational innovation. Job Requirements PhD degree in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mechanical Engineering, or a related discipline with rich AI experience. Strong programming and data analysis skills, preferably using C/C++, JAVA, or similar. Experience in data analysis, cleaning, and visualisation, particularly for real-world sensor data (e.g., surface radar, GPS, and weather data). Experience in simulation, optimisation, or decision-support systems applied to transportation or airport operations is highly desirable. Experience in process modelling, operational concept development, and workflow analysis for large-scale operational systems. Strong background in airport operations, air transport systems, or complex system modelling, with experience in operational analysis and systems-level thinking is a plus. Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes. Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders. A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines. A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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