Research Fellow (Physics-Informed Neural Networks (PINNs))

The School of Mechanical & Aerospace Engineering (MAE) at NTU is seeking a Research Fellow to work on the development of Physics-informed neural networks (PINNs) on quadruped robots.

Requirements

• PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or any related field
• Strong background in machine learning, PINNs and control theory
• Excellent verbal and written communication skills
• Proficiency in programming languages in Python and/or C/C++
• A curious and ambitious mindset for research
• A strong work ethic, effective time management skills, and a capability to work independently and collaboratively