Data Science | Engineering internship: clamp performance modeling

Data Science | Engineering internship: clamp performance modeling at ASML seeking a master’s apprentice to analyze how wafer clamps affect performance and wear. Responsibilities include analyzing historical clamp performance data, classifying data fingerprints related to performance and wear, improving and validating an existing machine learning model, designing tests to evaluate prediction accuracy, translating insights into actionable recommendations, and collaborating with engineers to interpret results. Requires pursuing a master’s degree in a relevant field, Python/programming experience, basic ML knowledge, and English communication. The role emphasizes hands-on data analysis, model development, and documentation in a high-tech environment with on-site presence three days per week and four days total per week starting around September 2026. This is an engineering internship with an emphasis on data-driven decision support and model refinement, hosted by ASML in the Brainport Eindhoven region of the Netherlands, with an equal-opportunity employer stance and access to controlled technology under export regulations.