Intern: AI-Driven Failure Pattern Analytics

ASML; Nederland; On-site; EUR 8,900 - 16,000; Full time

Job summary

ASML in the Eindhoven region invites a master's student to join the Leveling department for a data‑driven internship focused on machine event logs and failure classification. You will develop methods to clean, structure, and analyze noisy data, build ML models, and present findings to engineers and researchers.

The internship lasts a minimum of 6 months, full‑time (5 days/week with 3 days on‑site), starting no later than February 2027.

Qualifications

• Pursuing a master’s degree in a technical field related to CS, data science, AI, ML, applied mathematics, or electrical engineering.
• Experience with Python and machine learning techniques is expected.
• Knowledge of data analysis, classification methods, feature engineering, and model evaluation is required.
• Analytical mindset and ability to communicate technical findings clearly.

Responsibilities

• Develop algorithms to clean, compress, and structure noisy machine event data.
• Identify recurring failure signatures using data mining and ML techniques.
• Build and evaluate supervised and unsupervised classification models.
• Validate findings using historical data and expert feedback.
• Investigate similarities and differences between failure patterns across machines.
• Present results and recommendations to engineers and researchers.

Skills

Python

Machine learning

Data analysis

Education

MSc in Computer Science

MSc in Data Science

Tools

scikit-learn

Job description

ASML in the Eindhoven region invites a master's student to join the Leveling department for a data‑driven internship focused on machine event logs and failure classification. You will develop methods to clean, structure, and analyze noisy data, build ML models, and present findings to engineers and researchers.

The internship lasts a minimum of 6 months, full‑time (5 days/week with 3 days on‑site), starting no later than February 2027.