Job Summary

We are looking for potential candidates to join a vibrant and collaborative team of scientists and engineers in the Computational Sustainability Division (CoS), Institute of High Performance Computing, A*STAR. The candidate is expected to contribute to research and development in computational fluid dynamics (CFD) addressing challenges in urban sustainability, marine‑offshore decarbonisation, low‑carbon energy, renewable energy, and other related areas. You will be working on R&D projects ranging from fundamental capability building to applied research, offering great opportunity for growth and impact.

The Key Scope Of Work Includes

• Developing modelling and simulation capabilities for multi‑physics, multi‑component, and multi‑phase fluid flow problems.
• Developing Physics‑Informed Machine Learning (PIML) models, which includes the foundation methodologies for incorporating the governing physics into the machine learning model...