The robots are designed to operate in environments that are inaccessible or dangerous for humans and to support people in their everyday lives and at work.
This capability enables our robots to safely navigate and interact with their environment - both indoors and outdoors - by providing reliable spatial awareness without active sensors.
Research work to improve stereo vision algorithms by combining classical and data-driven approaches for depth estimation
Implementation and development of algorithms for different platforms (CPU, GPU, NVIDIA Jetson, FPGA), depending on the specific constraints and requirements of each application and method
Data generation and simulation for training data-driven methods. Creation and curation of photorealistic, high-quality data sets with our simulators (OAISYS, BlenderProc2) for specialised robotic environments ranging from planetary exploration to minimally invasive surgery
Practical integration, testing and maintenance of robotic systems in the laboratory and at external demonstrations and trade fairs
Literature research and publication of scientific papers
Participation in international conferences
Completed scientific university degree (Master's degree / university diploma) in engineering or other degree programmes relevant to the position
Good programming skills in C++ and Python and experience with Linux environments
Familiarity with software frameworks for machine learning (PyTorch,TensorFlow, CUDA) and robotics middleware (ROS)
Initial research experience in robotics, stereo depth estimation and machine learning
Good English communication skills
Remuneration is up to the German TVöD 13 depending on qualifications and assigned tasks.
To this end, we offer numerous training and development opportunities. Applicants with severe disabilities will be given preference if they are qualified.