AI/ML Surrogate Modelling Engineer

This role involves developing and integrating software-based AI/ML surrogate modelling solutions for industrial water consumption and wastewater treatment applications to support sustainability goals. The position requires modeling complex physical systems using simulation platforms and physics-enabled AI approaches to optimize industrial operations and enhance the A*STAR Water Efficiency and Effectiveness Monitoring and Analytics System (WE2MAS). The role focuses on bridging data to high-fidelity simulations with scalable AI surrogate models for real-world validation and deployment at industrial sites.