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  • Braunschweig

  • We are excited to invite applications from experienced professionals in the field of robotic systems control. This role offers a unique opportunity to leverage advanced control techniques combined with AI to create better robotic applications. The ideal candidate will possess a robust blend of theoretical knowledge and practical expertise in developing and deploying controllers for robotic systems.

    Tasks

    • Design, develop, and deploy controllers for robotic applications, focusing on nonlinear optimal control, quadratic programming (QP), robust control, or model predictive control (MPC).
    • Support our team in robustifying existing controllers.
    • Support the research arm of the company in the area of control theory.

    Requirements

    • Ph.D. or Master's degree in Control, Robotics, Computer Science, Electrical Engineering, or a related field
    • Experience working with real-time systems
    • Proficiency in at least one of the following areas: nonlinear optimal control, QP, robust control, or MPC, with demonstrated practical applications in robotics
    • Solid knowledge of dynamics, kinematics, sensors, and other robotics-specific domain knowledge
    • Strong programming skills in C++ and Python (experience with ROS2 is desirable)

    Benefits

    • Learn on: Access free courses through learning platform
    • Choose your Weapons: Select your preferred device/OS; we support your requirements to optimize productivity
    • Work Flexibly: Tailor your work schedule and environment to align with our mission
    • Stay Mobile: Choose from various commuting solutions, including Jobrad/bike leasing or public transportation tickets
    • Look after you: Prioritize self-care with flexible gym memberships or explore capital-building benefits. Plus, enjoy daily servings of fresh fruit and soft drinks to boost your energy level.

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