Internship: Anomaly Detection for Smart Maintenance

This is an internship role within the Data Science team at Damen's Research, Development & Innovation department, focused on the Smart Maintenance project. The intern will work on developing and improving machine learning-based anomaly detection models to predict equipment failures in maritime vessels using sensor data. The position involves preprocessing time-series data, running experiments in Python, and collaborating with data scientists and maintenance engineers to enhance detection reliability and explainability.