Data Science Internship: ML for Machine Failure Insights

ASML; Veldhoven; Hybrid; EUR 8,900 - 12,000; Full time

Job summary

ASML invites a master's student to join the Leveling department in Development and Engineering for a data-driven internship focused on understanding machine failures through event logs. You will design and evaluate ML approaches to classify failure modes and extract insights from historical data.

The role emphasizes data cleaning, feature engineering, and model evaluation, with on-site and collaborative work across engineers and researchers.

Qualifications

• Pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Electrical Engineering, Systems & Control, or a related technical field.

Responsibilities

• Develop algorithms to clean, compress, and structure noisy machine event data.
• Identify recurring failure signatures using data mining and machine learning 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

Analytical thinking

Communication

Team collaboration

Problem solving

Education

Master’s degree in Computer Science or related field

Tools

Python

Pandas

Scikit-Learn

Job description

ASML invites a master's student to join the Leveling department in Development and Engineering for a data-driven internship focused on understanding machine failures through event logs. You will design and evaluate ML approaches to classify failure modes and extract insights from historical data.

The role emphasizes data cleaning, feature engineering, and model evaluation, with on-site and collaborative work across engineers and researchers.