About the role
AI summarisedScientist, Computational Sustainability, IHPC role at A*STAR in Singapore.
ResearchOnsite
Key Responsibilities
- 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 models.
Requirements
- Strong background in physics and/or engineering; preferably holding a PhD degree in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering, Applied Physics, or other relevant disciplines.
- Comprehensive understanding of physics and/or engineering principles, encompassing fluid dynamics, flow transport, thermodynamics, as well as expertise in multi-phase and multi-component flow.
- Deep knowledge in numerical methods (e.g., finite volume, lattice Boltzmann, volume of fluid) and high-performance computing.
- Experience in development of computational methods for example in usage and customization of open-source codes (e.g.