CFD Research Scientist: Physics-Informed ML for Energy

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading research institute in Singapore is seeking a candidate for the Computational Sustainability Division to work on advanced research in computational fluid dynamics. The role requires a strong PhD background in relevant engineering or physics disciplines, with knowledge of numerical methods and programming expertise. Responsibilities include developing models and collaborating on applied research projects in sustainable urban and marine systems. This position presents significant opportunities for professional growth and impactful contributions.

Qualifications

• PhD degree in Mechanical, Aerospace, Civil, Environmental, Chemical, or Computational Engineering.
• Understanding of fluid dynamics, thermodynamics, and flow transport.
• Experience with open-source computational methods and optimization.

Responsibilities

• Develop modeling and simulation capabilities for multi-physics problems.
• Create Physics-Informed Machine Learning models.
• Collaborate with industry partners on CFD applications.

Skills

Strong background in physics

Engineering principles

Experience in numerical methods

Proficiency in Python

Machine learning techniques

Good communication skills

Education

PhD degree in relevant disciplines

Tools

OpenFOAM

Nek5000

CUDA

Job description

A leading research institute in Singapore is seeking a candidate for the Computational Sustainability Division to work on advanced research in computational fluid dynamics. The role requires a strong PhD background in relevant engineering or physics disciplines, with knowledge of numerical methods and programming expertise. Responsibilities include developing models and collaborating on applied research projects in sustainable urban and marine systems. This position presents significant opportunities for professional growth and impactful contributions.