Research Fellow (Materials and Artificial Intelligence)

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.

We seek a highly motivated Research Fellow to reverse engineer microstructured composite materials with novel combinations of structural and functional properties, using both simulations for machine learning and experimental validation. Fabrication tools and methods are already established in our laboratory.

Key Responsibilities:

• Conduct experiments, simulations, and modeling as part of the research activities, and regularly present your results to the group.

• Contribute to laboratory management, mentor undergraduate and postgraduate students, and collaborate with other research teams.

• Publish high-quality scientific papers and presenting work at international conferences.

Job Requirements:

• PhD in Materials Science or Mechanical Engineering (or related), with experience in both experimental work and artificial intelligence.

• Strong research record, demonstrated excellence in research, and motivation for collaborative work are required.

• Excellent written and oral communication skills.

• Ability to work independently in a well-organized manner.

We regret to inform that only shortlisted candidates will be notified.