We are looking for a Control Engineer with strong fundamentals in classical and modern control systems to support the deployment of stable and robust control on legged robotic platforms.

Key Responsibilities
Design, analyse, and implement control algorithms for legged locomotion systems.
Design and deploy Model Predictive Controllers (MPC) for balancing and trajectory tracking.
Develop and tune classical controllers including PID, lead-lag, state-space, and observer-based controllers.
Analyse system stability using Nyquist plots, Bode plots, root locus, Lyapunov stability, and frequency-domain methods.
Model and control nonlinear dynamic systems including inverted pendulum and double inverted pendulum systems.
Work on dynamic balancing, disturbance rejection, contact stability, and whole-body control concepts.
Validate controllers through simulation and real-world robotic deployment.

Required Qualifications
Minimum Master’s degree in Robotics, ...