Master Thesis Project in Anomaly Detection

This Master Thesis project at Saab focuses on investigating the application of unsupervised machine learning algorithms, such as Isolation Forest and K-means, for anomaly detection within simulators of large-scale complex systems. The role involves reviewing previous work, interviewing senior engineers, and evaluating ML models to structure and present results effectively. Students will collaborate with experienced specialists to gain practical experience while contributing to technological advancements in aircraft system development.