Thesis/Internship: Development of AI Support for Ultrasonic Welding

The goal of this thesis / internship is to develop an AI-based tool for the data-driven evaluation and improvement of the ultrasonic welding process: Familiarization with the topic of ultrasonic welding of packaging Research on patents and prior work related to intelligent data analysis in the ultrasonic welding process Experimental collection of welding process data in the laboratory Programming custom models to evaluate weld quality based on the collected data Verification of the results through experimental validation Working towards a degree in mechanical engineering, mechatronics, electrical engineering, or a related field Basic knowledge of measurement technology and signal processing Basic knowledge of programming in Python Previous experience in machine learning-based data processing is desirable Enjoyment of experimental work in the lab and an interest in the field of ultrasound Prior knowledge of ultrasonic welding is not required An independent, structured approach to work and the motivation to actively contribute to an innovative project Close guidance from experienced experts Access to state-of-the-art laboratories and testing facilities Opportunities to contribute your own ideas and engage in hands-on work Strong corporate values and a genuine passion for people and technology