





We are building an automated data‑processing pipeline that converts raw scanner sensor data into performance predictions for imaging. Today this workflow involves multiple extraction and conversion steps that are time‑consuming and not fully standardized. Our goal is to bring all imaging‑related data analysis into a single, robust application for future performance assessments. As an intern, you will: Develop a user-friendly Python-based graphical interface that enables the Imaging team to generate consistent scanner performance predictions. Analyze the associated data and physics, identifying opportunities to improve prediction accuracy. Integrate the tool into a larger internal project, gaining experience with database connections, GitHub workflows, testing setups, and standard modern development practices. This is a Bachelor/Master internship for around 6 months, working minimum 4 days per week. This internship is not suitable for a thesis. The start date is around August/September.