CFD Scientist - Sustainable Systems & Energy Research

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

Job summary

A leading research institute in Singapore is seeking candidates for a role focused on computational fluid dynamics within a collaborative team. The successful applicant will engage in research and development projects aimed at urban sustainability and low-carbon solutions. A strong academic background in engineering or physics and good programming skills are essential. This position offers opportunities for professional growth and the chance to make a meaningful impact in related domains.

Qualifications

• Strong academic background in physics and/or engineering.
• Solid understanding of core physics and engineering principles.
• Experience in developing computational methods and using CFD codes.
• Proficiency in programming languages including Python and C/C++.
• Experience with machine learning techniques is desirable.

Responsibilities

• Develop advanced modelling and simulation capabilities for multi-physics fluid flow problems.
• Design and implement Physics-Informed Machine Learning models.
• Work closely with multidisciplinary teams on CFD applications.
• Collaborate with industry partners to translate research outcomes.

Skills

Physics-Informed Machine Learning

Numerical methods for fluid flow simulations

High-performance computing

Programming languages (Python, C/C++, Fortran, CUDA, Julia)

Machine learning techniques

Education

PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering, or Applied Physics

Tools

OpenFOAM

Nek5000

Palabos

Job description

A leading research institute in Singapore is seeking candidates for a role focused on computational fluid dynamics within a collaborative team. The successful applicant will engage in research and development projects aimed at urban sustainability and low-carbon solutions. A strong academic background in engineering or physics and good programming skills are essential. This position offers opportunities for professional growth and the chance to make a meaningful impact in related domains.