About The Role In this role, you will develop and integrate software-based AI/ML surrogate modelling solutions for industrial water consumption and wastewater treatment applications, supporting sustainability goals such as improved water recycling and reduced operational carbon intensity. You will model complex physical systems potentially including fluid dynamics, heat transfer, and process equipment via simulation platforms and/or physics-enabled AI approaches to optimize industrial operations and further develop capabilities for the A*STAR Water Efficiency and Effectiveness Monitoring and Analytics System (WE2MAS).
The role requires a strong foundation in process engineering and data-driven methods, with an understanding of manufacturing and industrial systems. You will also evaluate state of the art technologies and design end-to-end workflows that bridge data to high-fidelity simulations with scalable AI surrogate models for real-world validation, deployment, and implementation...