Winter Semester 2025/26 – Fixed term for 6 months
YOUR TASKS:
- Develop intelligent algorithms for demanding outdoor applications based on 3D LiDAR data
- Explore state-of-the-art deep learning methods for 2D/3D environment perception (segmentation, object detection and classification)
- Train deep learning models and evaluate various algorithms in terms of accuracy and efficiency
- Work with cutting-edge 3D LiDAR sensors and gain hands-on technical experience
- Assess the applicability of deep learning methods on modern AI accelerators such as NVIDIA Jetson and Hailo
- Collaborate closely with engineers to develop innovative solutions
- Document your results in a structured and traceable manner
YOUR PROFILE:
- You are currently pursuing a master’s degree in computer science, physics, electrical engineering, mathematics or a related field
- You enjoy diving into new and challenging topics and developing novel solutions
- You have solid programming skills, ideally in C++ or Python
- You have initial experience with deep learning and frameworks such as TensorFlow or PyTorch
- You work in a systematic and structured manner
- Creativity in problem-solving and a passion for innovation round off your profile
YOUR APPLICATION:
- We are looking forward to your online application
- Sarah Disch
- Job-ID 37053
- 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, Thesis, Masterarbeit
