UserAccount: Thesis: Deep learning-based environment recognition using 3D sensor technology* (36765)
UserAccount: Thesis: Deep learning-based environment recognition using 3D sensor technology* (36765)
Posted on :
07-05-2025
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1 Vacancy
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Job Description
Winter Semester 2025/26 Limited to 36 months Start possible from 01.09.2025
YOUR TASKS:
- Develop algorithms for environmental perception to prevent collisions of mobile robots and machines.
- Research and apply stateoftheart deep learning methods for 2D/3D environment perception (segmentation object detection and tracking).
- Train deep learning models and evaluate various algorithms.
- Design a multisensor system for 3D environmental perception e.g. for obstacle detection in logistics applications or outdoor environments.
- Process and fuse highresolution RGB and depth data from real or simulated stereo or RGBD cameras.
- Integrate optimize and evaluate systems on stateoftheart AI accelerator hardware such as NVIDIA Jetson and Hailo.
- Document your work results in detail.
YOUR PROFILE:
- You are currently pursuing a Masters degree in Computer Science Robotics Mathematics or a related field.
- You have strong programming skills ideally in C or Python.
- You have a solid understanding of image processing and working with 2D and 3D data.
- You have expertise in deep learning and machine learning with experience in frameworks such as TensorFlow or PyTorch.
- Ideally you have knowledge of applications involving mobile robots or autonomous driving e.g. using ROS and/or NVIDIA Jetson.
- Your systematic and structured thinking and approach set you apart.
- Creativity in problemsolving and enthusiasm for innovation complete your profile.
YOUR APPLICATION:
- We are looking forward to your online application
- Sarah Disch
- JobID36765
- All applications will be treated confidentially
*At SICK we see people not gender.
We put great emphasis on diversity reject discrimination and do not think in categories such as gender ethnicity religion disability age or sexual identity.
Stichworte:Abschlussarbeit
Employment Type
Intern
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