Scientist, Computational Sustainability & CFD Research

A*STAR International; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Institute of High Performance Computing (IHPC) – A*STAR invites outstanding candidates to join the Computational Sustainability Division to contribute to research and development in CFD, addressing urban sustainability, marine decarbonisation, low-carbon energy, and related domains. You will engage in foundational capability development and applied research with ample room for growth.

The role includes developing multi-physics CFD capabilities, implementing Physics-Informed ML models, and

Qualifications

• PhD in a relevant engineering/physical science field preferred.
• Strong foundation in fluid dynamics and transport phenomena.
• Experience with CFD codes and HPC formatting.

Responsibilities

• Develop advanced CFD capabilities for multi-physics, multi-component flows.
• Design Physics-Informed Machine Learning (PIML) models.
• Create physics-based, data-driven surrogates and data assimilation methods.
• Collaborate with multidisciplinary teams to apply CFD to diverse applications.
• Engage with industry partners and affiliated institutes to translate research outcomes.

Skills

Fluid dynamics

CFD

High-performance computing

Python

C/C++

Machine learning

Education

PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering or related

Tools

OpenFOAM

Nek5000

Palabos

Fortran

CUDA

Job description

Institute of High Performance Computing (IHPC) – A*STAR invites outstanding candidates to join the Computational Sustainability Division to contribute to research and development in CFD, addressing urban sustainability, marine decarbonisation, low-carbon energy, and related domains. You will engage in foundational capability development and applied research with ample room for growth.

The role includes developing multi-physics CFD capabilities, implementing Physics-Informed ML models, and