Master Thesis Deep Learning for Ultrasound

Automated parking in challenging scenarios requires a precise free space estimation. Ultrasound sensors are suitable for high-precision predictions in close range. The topic of the thesis is the development of deep learning models for ultrasound, which exhibit good performance and are computational efficient.

• During your thesis you will have the possibility to develop and implement innovative ideas, new deep learning models for ultrasound data, especially as there is not a lot of research on deep learning for ultrasound sensors available yet.
• In addition, the ultrasound data can be fused with video data and processed together to enhance the performance.
• Furthermore, you will evaluate and compare the new models to existing baseline models.
• Working with real world data forms the foundation of your research to ensure the practicality and robustness of your solutions.

• Education: Master studies in the field of Natural Sciences or Engineering like Machine Learning, Computer Science, Math, Statistics, Physics, Cybernetics, Electrical/Mechanical Engineering with very good grades
• Experience and Knowledge: strong knowledge of and practical experience in Deep Learning, Computer Vision, Machine Learning, and 3D perception systems; Python as well as very good knowledge of a deep learning framework (preferably PyTorch)
• Personality and Working Practice: you excel at working independently and are strongly intrinsic motivated
• Languages: fluent in English