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.
Physics-Informed Machine Learning
Numerical methods for fluid flow simulations
High-performance computing
Programming languages (Python, C/C++, Fortran, CUDA, Julia)
Machine learning techniques
PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, Computational Engineering, or Applied Physics