Masterarbeit: Computer Vision-basierte automatisierte Fragmentierungserkennung für Laserlithotripsie-Tests (m/w/d)

Master's thesis developing an optical imaging system with computer vision algorithms to detect stone fragmentation in laser lithotripsy tests. The student will develop the complete optical setup, algorithm, and optimize stone holders. The thesis will document the theoretical foundations, methodology, results, and conclusions.

Requirements

• enrolled in an engineering or computer science program with a focus on imaging/image processing
• founded and routine knowledge in computer vision and Python (with focus on OpenCV, NumPy, Pandas)
• Technical understanding of algorithms in image processing and camera control
• First knowledge for the design of an optical system
• First experiences in machine vision and deep learning
• Very good laboratory skills (problem-solving and hands-on mentality, independent work, quality-oriented and conscientious work style)
• High level of team-oriented work, creativity, and communication skills as well as self-initiative
• Complex issues can be presented in an understandable manner
• Ability to evaluate and assess technical connections
• Interest in medical application setups
• Fluent German and English language skills

Benefits

• Personalized onboarding plan and comprehensive onboarding
• Flexible working hours
• Variety of tasks in a dynamic, international environment
• Continuous training and development
• Flat hierarchies
• Accident insurance
• Employer's contribution to social security
• Employee association with various contributions and benefits