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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Business Engineering | Industrial Engineering internship

ASML
Found 2 weeks ago
Location
Veldhoven, Netherlands
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Data Science
  • Business Engineering
  • Industrial Engineering
  • Data Analytics

Soft Skills

  • analytical
  • collaborative
  • communicate

Job Description

The EUV Factory develops, builds, and tests the most advanced lithography systems before they move to customer sites. The team focuses on improving system performance and supporting operational excellence across all production activities. A key challenge is increasing the accuracy and transparency of Mean Time to Repair (MTTR) data, which strongly influences machine availability and service efficiency. Today’s MTTR data contains timestamp gaps, inconsistent logging practices, and limited visibility into real-life repair execution. This internship helps the team understand these gaps and propose improvements that support reliable and predictable service actions. In this internship, you explore how MTTR data is captured, how service actions take place on the factory floor, and how both can be better aligned. You work closely with engineers and technicians to understand how operational behavior translates into data. You also assess which process, logging, or workflow improvements enable more accurate reporting. Your findings help enhance transparency and strengthen performance improvement initiatives. Your main responsibilities will be: * Investigate how timestamps and service logs are recorded during repair activities. * Analyze accuracy, completeness, and consistency of existing logging structures. * Observe real-life service actions in the cleanroom to understand operational behavior. * Identify gaps between recorded data and actual repair execution. * Recommend improvements in workflows, documentation practices, or reporting structures. * Support transparency by contributing to clearer data interpretation guidelines. * Document findings and present improvement proposals to stakeholders.

Requirements

  • Are pursuing a bachelor’s or master’s degree in Business Engineering, Industrial Engineering, Data Analytics, or a related field.
  • Are analytical and able to translate data insights into real operational behavior.
  • Have affinity with a technical environment, and are comfortable walking around the factory floor and asking questions during observations.
  • Are collaborative and willing to engage with technicians and engineers.
  • Are able to communicate in English on a professional level.
  • Are enrolled at an educational institute for the entire duration of the internship
  • You need to be located in the Netherlands to be able to perform your internship. In case you ‘re 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).

Related Field

  • Engineering Management

Related Subfield

  • Data Engineering Management

Languages

  • English
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