Research Fellow - Physics-Informed Neural Networks (PINNs)

About the role

The School of Mechanical & Aerospace Engineering (MAE) at Nanyang Technological University (NTU) is looking for a Research Fellow to work on the development of Physics-Informed Neural Networks (PINNs) applied to quadruped robots. The role focuses on developing PINNs and validating them experimentally on quadruped robots.

Key responsibilities

• Lead and contribute to experiments, simulations or theoretical work aligned with the project's goals.
• Lead and co-author peer-reviewed journal articles, conference papers or technical reports.
• Plan timelines, manage resources and report progress to the Principal Investigator.
• Build your own research profile and prepare for the next career stage.

Required profile

• A PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Physics or a related field.
• Curious and ambitious mindset for research, with a strong work ethic and effective time management.
• Ability to work independently and collaboratively.

Required skills

• Strong background in machine learning, PINNs and control theory.
• Excellent verbal and written communication skills.
• Proficiency in Python and/or C++.