Research Fellow (Physics-Informed Neural Networks (PINNs))
Core
Developing Physics-informed neural networks (PINNs) for quadruped robots and conducting experimental validation.
Role type
Research Fellow (PINNs & Robotics)
Builds
Research outputs (journal articles, conference papers, technical reports) and experimental prototypes
Domain
Robotics, Machine Learning, Control Theory
Deliverable
research
Required skills
Machine learning, PINNs, control theory, Python, C/C++
Responsibilities
Lead and contribute to experiments, simulations, or theoretical work; Lead and co-author peer-reviewed publications; Plan timelines, manage resources, and report progress to the Principal Investigator
Seniority
Research Fellow (PhD level)
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