Computer Science | Data Science internship: rule recommendation

Introduction

The CS Diagnostics team helps our field service engineers solve issues on ASML machines as quickly and accurately as possible. We analyze what goes wrong in the field, how engineers are supported today, and how we can improve that support through better insights. Our work combines error patterns, dashboards, decision steps, and data-driven models to guide engineers toward the right solution. This internship contributes to developing smarter ways to recommend expert rules, reducing investigation time and increasing machine availability. If you want to work on high‑impact problems in a fast‑moving environment, this internship offers a meaningful challenge.

Your assignment

During this internship, you will explore methods to automate the creation of expert rules used by field engineers. These rules help determine the best next action when machine symptoms occur, yet creating them manually is time‑consuming. You will investigate how symptom combinations can be represented, compared, and translated into candidate rules that improve diagnostic decision-making. Your work will contribute directly to faster, more reliable field support. Your main responsibilities will be:

• Analyze symptom patterns and define meaningful ways to represent them.

• Explore and benchmark multiple methods to search large solution spaces.

• Develop metrics to evaluate the quality of proposed expert rules.

• Build and test algorithms that recommend suitable candidate rules.

• Compare different approaches for efficiency, robustness, and accuracy.

• Validate outcomes using real or simulated incident data.

• Summarize insights and recommend improvements for implementation.

This is a master's (thesis) internship for a minimum of 5 months, 5 days per week (4 days can be discussed), the team works 4 days on-site. The start date is projected at the end of August, starting earlier is possible.

Your profile

To be suitable for the internship, you:

• Are enrolled in a master’s degree in computer science, data science, mathematics, engineering, or a related field.

• Are analytical and enjoy solving complex technical problems.

• Have experience working with data analysis or algorithm development.

• Work in a structured, proactive, and collaborative way.

• Communicate clearly in English, both verbally and in writing.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship;

• Attach your cover letter with a clear motivation 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 CV/motivation letter includes the willingness to relocate.

• 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).

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

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.

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