CFD & Physics‑Informed ML Scientist for Sustainable Energy

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research in Singapore seeks candidates for a role in Computational Sustainability. The successful candidate will contribute to research and development in computational fluid dynamics, focusing on urban sustainability and low-carbon energy. Responsibilities include developing simulation capabilities, applying Physics-Informed Machine Learning models, and collaborating with industry partners. A PhD in relevant engineering fields and strong programming skills are essential. Join a vibrant team that values growth and innovation.

Qualifications

• Strong background in physics and/or engineering with a PhD is preferred.
• Deep knowledge in numerical methods and high-performance computing.
• Experience in computational methods and optimization is advantageous.

Responsibilities

• Develop modelling and simulation capabilities for fluid flow problems.
• Develop Physics-Informed Machine Learning models integrating governing physics.
• Collaborate with industry partners and stakeholders.

Skills

Strong background in physics and/or engineering

Expertise in multi-phase and multi-component flow

Proficiency in programming languages (Python, C/C++, Fortran, CUDA, Julia)

Experience with machine learning techniques

Good interpersonal and communication skills

Education

PhD in relevant disciplines (Mechanical, Aerospace, Civil, etc.)

Tools

OpenFOAM

Nek5000

Palabos

Job description

A*STAR - Agency for Science, Technology and Research in Singapore seeks candidates for a role in Computational Sustainability. The successful candidate will contribute to research and development in computational fluid dynamics, focusing on urban sustainability and low-carbon energy. Responsibilities include developing simulation capabilities, applying Physics-Informed Machine Learning models, and collaborating with industry partners. A PhD in relevant engineering fields and strong programming skills are essential. Join a vibrant team that values growth and innovation.