Education Requirements:

• University degree or doctorate in computer science, robotics, or comparable fields with a specialization in robotics and machine learning

Experience Requirements:

• Methodical and practical experience in the fields of robotics, deep learning and deep reinforcement learning

• In-depth experience with deep learning frameworks such as PyTorch or Tensorflow

• Experience with simulation environments such as Nvidia Isaac Sim, Omniverse, Mujoco, Unity, or similar

• Knowledge of robotics frameworks such as ROS, OROCOS, or similar

• Excellent programming skills in Python and C++

Responsibilities:

• Development and implementation of deep learning methods for robotics applications in particular for vision-based decision-making, motion control, and object manipulation

• Creation and testing of software for the overall control of robots in industrial environments

• Integration of deep learning models into the hardware and software of robotics applications

• Conducting research on new deep learning techniques for robotics