Research Fellow (National University of Singapore)

1. Develop intelligent 3D deposition path planning and optimization algorithms for powder-feed/wire-feed metal additive manufacturing
2. Develop intelligent multi-layer deposition planning algorithms by integrating numerical modelling and deep learning for powder-feed/wire-feed metal additive manufacturing

Qualifications

1. A PhD degree in manufacturing engineering (thesis related to AI/Machine Learning)
2. Extensive knowledge and experience in machine learning, optimization algorithms, and robotics.
3. Strong mathematical background.
4. Extensive knowledge and experience in Python, MATLAB, and ROS.
5. Excellent command of English.

More Information

• Location: Kent Ridge Campus
• Organization: Engineering
• Department : Mechanical Engineering