Research Scientist (Computational Sustainability Division), IHPC

A*STAR RESEARCH ENTITIES

Singapore
**
Phd in mechanical or related engineering discipline
Expertise in multi-phase and multi-component flows
Proficiency in python, c/c++, fortran, cuda, or julia
** A*STAR Research Entities is seeking a Research Scientist for its Computational Sustainability Division in Singapore. The role involves advanced research in computational fluid dynamics, focusing on urban sustainability and renewable energy, requiring a strong academic background in physics or engineering and expertise in various computational methods. **

Job Summary

  • The role involves developing advanced modeling and simulation capabilities for multi-physics fluid flow problems within the Computational Sustainability Division.
  • Candidates will design and implement Physics-Informed Machine Learning models to embed governing physical principles into machine learning frameworks.
  • The position offers opportunities to collaborate with industry partners and translate research outcomes into real-world impact on urban sustainability and decarbonization.

Matching Summary

Match Score: 75

** A*STAR Research Entities is seeking a Research Scientist for its Computational Sustainability Division in Singapore. The role involves advanced research in computational fluid dynamics, focusing on urban sustainability and renewable energy, requiring a strong academic background in physics or engineering and expertise in various computational methods. **

Skills & Requirements

Must-have

  • PhD in Mechanical or related engineering discipline
  • Expertise in multi-phase and multi-component flows
  • Proficiency in Python, C/C++, Fortran, CUDA, or Julia
  • Experience with OpenFOAM, Nek5000, or Palabos
  • Knowledge of finite volume and lattice Boltzmann methods

Nice-to-have

  • Experience with optimization techniques
  • Background in neural networks and deep learning
  • Strong interpersonal and communication skills
  • Ability to work independently and in multidisciplinary teams
  • Familiarity with data assimilation techniques

Key Requirements

  • PhD in Mechanical, Aerospace, Civil, Environmental, Chemical, or Computational Engineering
  • Solid understanding of fluid dynamics and transport phenomena
  • Experience with high-performance computing environments

Work Rights

Not specified

Tailored Resume

Cover Letter