Research Fellow
1 week ago
The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.
For more details, please view
Key Responsibilities:
- Development of AI-augmented CFD frameworks- Simulation of particle-laden two-phase flows- Valid the numerical model with experimental or existing numerical work- Publish high-impact research- Engage in interdisciplinary collaboration
Job Requirements:
Education qualifications- PhD in Mechanical Engineering, Computational Science, Applied Mathematics, or a related field.
Soft skills- Critical thinking and problem-solving,- Collaboration and teamwork,- Good communication,- Time management and self-motivation
Hard skills- Strong foundation in CFD,- Programming proficiency such as Python, AI/ML techniques,- Experience with parallel computing on CPU/GPU cluster,- use of CUDA, MPI is a plus.
Experience- Experience with open-source CFD frameworks (e.g., OpenFOAM, Basilisk, or similar) is advantageous,- Demonstrated track record of peer-reviewed publications in relevant fields.
Competencies- Capable of proposing and implementing novel computational strategies that go beyond traditional CFD paradigms,Hiring Institution: NTU
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