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 https://www.ntu.edu.sg/mae/research.
The School of Mechanical and Aerospace Engineering is seeking to hire a Research Fellow to develop novel AI-enhanced design methods for heat exchanger for energy saving purpose. The candidate will work on multi-physics numerical simulations, machine learning and manufacturability constrained design optimization. We expect the candidate to deliver optimized designs with improved thermal exchange efficiency and satisfying the additive manufacturing process requirements.
Key Responsibilities:
The Research Fellow will work on a cross-disciplinary project at the intersection of fluid mechanics, numerical simulation, design optimization and machine learning. The key responsibilities of this position include:
- Perform numerical simulation to solve heat transfer problems
- Develop machine learning-based surrogate models
- Perform design optimization based on AI
- Incorporate manufacturability concerns
- Collaborate with internal and external stakeholder on energy systems
- Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers
- Assist or produce high quality reports and documents that consolidate research findings
- Mentoring PhD and thesis-based master students
- Assist in grant writings
Job Requirements:
Required educational qualification, experience, skills and competencies for this position:
- PhD in Mechanical Engineering, Structural Engineering, Civil Engineering, Industrial Engineering, Machine Learning, or related fields
- Expertise in numerical simulation of multi-physics systems
- Expertise in data-driven and machine learning research
- Proficiency in basics of programming languages such as C++, Python, and/or Matlab
- Strong understanding of research methodologies, data analysis, and statistical techniques
- Ability to work both independently and collaboratively within a team
- Effective written and verbal communication skills, with the ability to convey information, collaborate and build relationship
- Ability to produce technical content for publications and deliver informative presentations to diverse audience including students
- Strong analytical and problem-solving skills to analyse and interpret research data
- Attention to details and a commitment to upholding ethical standards in all research activities
- Passion in the field of research and a desire to contribute to meaningful projects
- Proficiency in English speaking and writing for research work
- Publication track record is an advantage for this position
We regret to inform that only shortlisted candidates will be notified.
