Industrial Engineering Internship Reuse strategy high part usage modules

Introduction

ASML is committed to sustainability quality and efficiency in its operations. Within ASML reuse and quality initiatives play a key role in enabling circular economy goals while safeguarding system performance and value.

Reuse and Qualitydriven projects rely heavily on clear KPIs to assess value risks and impact. Ensuring alignment consistency and transparency across these KPIs is essential to effective project and portfolio steering.

By joining these initiatives as an intern youll actively contribute to factbased decision making improved reuse effectiveness and stronger quality insights across multiple projects.

Your assignment

This internship focuses on supporting reuse and qualityrelated projects through KPI analytics and structured insight generation with a strong emphasis on translating data into businessrelevant and decisionready insights. As an intern you act as the analytics and insight backbone for multiple initiatives ensuring that projects are dataready for steering discussions. The intern does not lead projects or make decisions but enables the Project Leader to steer based on facts value impact and crossproject patterns rather than spending time on data preparation.

As an intern you will be responsible for:

1. KPI & Reporting Consistency

• Gather and align KPI data from existing BI reports (e.g. Quality KPIs Reuse KPIs).
• Identify and flag inconsistencies in KPI definitions timeframes or scope.
• Maintain a harmonized KPI dataset that can be reused across projects.
• Perform basic data quality checks and trend validation.

2. Project Value Tracking (Reuse & Quality)

For each assigned project:

• Track baseline versus postintervention KPI performance.
• Support measurement of: Quality impact (e.g. DOA CQN defect trends) and reuserelated differences (New versus Reuse).
• Maintain standardized project value summaries.

3. DecisionReady Analysis Preparation

• Prepare structured KPI overviews ahead of project reviews.
• Highlight deviations risks and notable trends.
• Support comparison of multiple scenarios or options (without proposing decisions).

4. CrossProject Insight & Pattern Detection

• Analyze data across multiple projects to detect recurring patterns.
• Identify repeating failure modes KPI behavior or reuse signals.
• Summarize insights in periodic overviews for the Project Leader.

5. Communication & Material Support

• Prepare clear figures and charts onepage summaries and standardized slides for steering meetings.
• Ensure consistent messaging and visuals across reuse and KPI topics.

Expected Deliverables

• Unified dashboards
• Harmonized KPI datasets
• Project value onepagers
• Decisionready dashboards or summaries
• Crossproject insight snapshots
• Documented KPI assumptions and notes

Your profile

To be a match for this internship you:

• Are a masters student with a background in Data Science Business Analytics Industrial Engineering or a similar discipline preferably with a strong business and analytical orientation.
• Have strong analytical skills (Excel required; Power BI Spotfire or Azure analytics tools are a strong plus).
• Are able to translate data and KPIs into clear businessrelevant insights.
• Have an affinity with quality reuse and valuedriven decision making.
• Are structured curious and comfortable working with imperfect or evolving data.
• Possess good communication skills in English (verbal and written).

This is a master internship for 34 days per week with a duration of 6 to 12 months. Project Leader: Gokhan Ergen.

Other requirements you need to meet

• You are enrolled at an educational institutefor the entire duration of the internship;
• You need to be located in the Netherlands to be perform your 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).

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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