Computer Science | Data Science internship: failure pattern analysis

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

Introduction The Leveling department within Development and Engineering at ASML develops advanced wafer measurement solutions that support nanometer-level accuracy in semiconductor manufacturing. This internship focuses on improving the understanding of machine failures through data-driven analysis of event logs. You will help transform complex and noisy machine data into meaningful insights that support system reliability and performance.

Your work will contribute to identifying recurring failure patterns and enabling more effective failure classification. This internship offers the opportunity to combine artificial intelligence, machine learning, and data mining in a highly innovative engineering environment.

Your assignment

During this internship, you will develop methods to analyze machine event logs and identify patterns related to machine failures. You will design and evaluate machine learning approaches that classify failure modes and uncover valuable insights from historical machine data. The results of your work may support engineers in understanding failure behaviour across multiple systems and improving future diagnostics.

Your main responsibilities will be:

• 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.
• Assess the practical value of the proposed solution for engineering use cases.
• Present results and recommendations to engineers and researchers.

This is a master's thesis/non-thesis internship for a minimum of 6 months, 5 days per week (3 days on-site). The start date of this internship is as of February 2027 or earlier, depending on your availability.

Your profile

• Are 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.
• Have experience with Python and machine learning techniques.
• Have knowledge of data analysis, classification methods, feature engineering, and model evaluation.
• Are analytical and enjoy solving complex technical challenges using data.
• Are collaborative, proactive, and able to communicate technical findings clearly.

Other requirements you need to meet

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship.
• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).
• You attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular.
• You need to be located in the Netherlands to be perform your internship.
• In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

Thank you for your interest in ASML!

ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient. Working at ASML is inspiring, no matter what field you're in. That’s because we push the boundaries of technology: if it’s moving the world forward, chances are, we’re behind it. In fact, we’re probably a part of the electronic device you’re using right now. We’re a global team of more than 32,000 people from 122 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.