Level

ASML

Chemistry | chemical engineering internship: Cleanliness data insights

AI in this role

Introduction

The Defectivity department within ASML’s Development & Engineering organization helps ensure that advanced lithography systems meet strict cleanliness requirements. In Veldhoven, the Process & Cleanliness Control team supports the development, manufacturing, assembly, and cleaning of critical system components. As the intern, you will help improve the understanding of contamination behavior in field-returned parts. Your work will contribute to identifying patterns, supporting preventive actions, and improving system performance. This Chemistry | Chemical Engineering internship: cleanliness data insights offers a unique opportunity to combine data analysis with applied chemistry in a highly innovative environment.

Your assignment

During this internship, you will support the continuation of an existing project focused on cleanliness verification data. You will collect, organize, and analyze information received from suppliers regarding field-returned parts. The objective is to establish meaningful correlations between cleanliness data and hardware performance, helping the team identify improvement opportunities and prevent future contamination issues. Your main responsibilities will be:

  • Build and maintain a structured database of cleanliness-related data
  • Collect and organize supplier data from field-returned components
  • Analyze trends, correlations, and performance-related findings
  • Create calculations, visualizations, and reports to present insights
  • Investigate potential causes of contamination-related issues
  • Support recommendations for preventive improvement actions
  • Learn and apply cleanliness verification methods through practical training

This is a bachelor/master non-thesis internship for minimum 6 months, minimum 4 days per week (4 days on-site). The start date of this internship is as of October 2026 onwards.

Your profile

To be suitable for the internship, you:

  • Are pursuing a bachelor's or master's degree in Chemistry, Chemical Engineering, Physics, or a closely related field
  • Have experience working with data in spreadsheets and creating calculations, charts, and visualizations (MS Excel proficient user)
  • Demonstrate strong analytical and problem-solving skills
  • Are proactive and able to work independently while collaborating with others
  • Communicate clearly in English, both written and spoken

If you are interested in data-driven problem solving and want to contribute to improving the performance of advanced technology systems, this internship could be the right opportunity for you. You will gain valuable industry experience while helping ASML better understand and prevent contamination-related challenges.

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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How we score this

Chemistry | chemical engineering internship: Cleanliness data insights at ASML scores 33 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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