Master thesis in the field of computer vision and machine learning

Master thesis: AI for Anomaly Detection in Non-Destructive Testing (NDT)

We are looking for a highly motivated Master’s student to join our R&D department in the non-destructive testing (NDT) industry. The position is based in an innovative, research-oriented environment that facilitates direct interaction with experts from a wide range of disciplines and provides the ideal conditions for a high-level master's thesis.

The thesis focuses on developing state-of-the-art AI-based solutions for detecting anomalies in industrial inspection data. 

Your role:

• Develop innovative AI-based solutions for anomaly detection in NDT applications
• Conduct research on state-of-the-art methods in self-supervised learning and computer vision
• Implement and optimize models using Python and popular ML/DL frameworks (e.g., PyTorch, TensorFlow)
• Evaluate and compare different approaches using both quantitative and qualitative metrics
• Collaborate with R&D experts to align solutions with real-world industrial requirements