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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Computer Science and Data Science internship: alignment data automation

ASML
Found 1 month ago
Location
Veldhoven, Netherlands
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • MATLAB
  • SQL
  • database design

Soft Skills

  • collaborative
  • proactive
  • analytical
  • clear communication
  • sound organization

Job Description

In this internship, you create a robust data pipeline for alignment measurement data. Your work makes data easier to store, query, and reuse, accelerating insights for engineers. You will collaborate with specialists who turn data into better scanner performance. You will design and implement the backbone for alignment measurement data. You will set up a structured SQL database, automate ingestion, and capture practical use cases. In this internship, you also document a clear way of working and deliver training so others can contribute. Your main responsibilities will be: * Collect and structure wafer alignment measurement data with clear metadata. * Design and build a normalized SQL database for scalable storage and retrieval. * Develop and test Python or MATLAB scripts to automate data ingestion and validation. * Create example use cases and sample queries that demonstrate how to use the data. * Analyze datasets to verify quality and derive basic trends or sanity checks. * Document the process, standards, and handover materials for easy onboarding. * Run a training session and support colleagues adopting the database.

Requirements

  • currently enrolled in a bachelor’s or master’s degree in computer science and engineering, data science, or information technology
  • programming experience in Python or MATLAB
  • understand SQL and basic database design
  • basic understanding of semiconductor manufacturing or are eager to learn it quickly
  • collaborative, proactive, and analytical way, with clear communication and sound organization

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Nice to Haves

  • semiconductor manufacturing
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