Job advertisement Id WS004 online since 02/2025
You will support our Computer Vision team in current tasks involving localization, mapping and object detection with camera, Lidar or radar data.
The general focus is on improving and enhancing the current GNSS/inertial-based positioning system, for example in case of degraded or missing satellite signals, or to add environment detection capabilities by map creation or object detection using camera, Lidar or radar sensors.
Your task may include all parts of the pipeline, starting at sensor evaluation, integration and calibration, collection or post-processing of datasets, development support for the data acquisition system, including the embedded processing platform (NVIDIA Jetson NX Dev. Kit) and docker containers (Linux-based) for example, evaluation of publicly available algorithms (e.g. Visual or Lidar SLAM), algorithm implementation, implementation of interfaces or tools in Python or C++. Other potential topics are related to integrity monitoring for sensor fusion or sensor fusion related implementation tasks. AI, machine learning and deep learning approaches are basis for several tasks, implementations are usually based on PyTorch or Tensorflow. Your task will be related to our product development or funded projects.
- Will be defined together with you depending on your background, interests and skills and our current priorities.
- Student in computer science, robotics, or related areas
- Experience in computer vision, visual navigation, and preferably satellite-based navigation
- Very good programming skills in C++ and Python and experience in software development
- Very good analytical and debugging skills
- Experience with deep learning and machine learning techniques and frameworks, such as PyTorch or Tensorflow
- Theoretical knowledge and practical experience in Simultaneous Localization and Mapping (SLAM), or object detection methods would be ideal.
- Experience with camera, Lidar or radar sensors would be ideal.
- Strong motivation and ability to work independently
- Team player
- Good communication skills in English and preferably in German too
