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Joining the Robot team means joining an environment where mathematical abstraction meets physical reality. We are looking for an expert with a PhD degree, capable of transforming theoretical models into safe and efficient robotic behaviors.
Job Responsibility:
Optimization of Controllers (Motion Control): Identify and characterize control needs (centimetric accuracy, disturbance rejection, transient dynamics)
Develop and validate advanced control algorithms (Nonlinear MPC)
Path Planning: Design and implement the planning strategy taking into account the non-holonomic constraints of the robot
Collaborate with the fleet management team to solve dynamic rescheduling issues in real-time
Condition Estimation and Sensor Fusion (Localization & Filtering): Uncertainty Modeling: Design and refine observation and prediction models to ensure robust localization in an outdoor dynamic environment
Advanced Filter Synthesis: Master the implementation of Extended Kalman Filters (EKF) to deal with the intrinsic nonlinearity of our models and the asynchronous nature of the sensors (GNSS, IMU, Odometry)
Requirements:
PhD in Robotics, Automation, or Applied Mathematics
Perfect mastery of the modeling of dynamic systems and the synthesis of control laws