Internship – EUV CSCM UIR

ASML•Hillsboro, OR

About The Position

The CSCM Intern will support ASML’s EUV Upgrades, Installations and Relocations (UIR) Customer Supply Chain team through a defined supply chain improvement assignment focused on material availability, planning, and operational process effectiveness. The intern will analyze supply chain data and current processes, identify gaps and improvement opportunities, and work with cross-functional stakeholders to develop practical recommendations. The assignment provides hands-on exposure to customer supply chain operations, data-driven problem solving, material planning, and process improvement. The intern will document findings and present recommendations and end-of-summer accomplishments to the team. Specific projects will be tailored to the intern’s education, experience, and learning objectives. The CSCM UIR team supports EUV upgrades, installations, and relocations at customer sites across the United States. It prepares and executes scheduled customer events by coordinating material requirements, monitoring material availability, addressing supply constraints, and supporting the flow of parts and tools. The team works closely with Customer Support and other supply chain partners throughout each event.

Requirements

  • Currently pursuing a bachelor’s or master’s degree in Supply Chain Management, Industrial Engineering, Operations Management, Business Analytics, Logistics, or a related field.
  • Interest in supply chain, material planning, data analysis, and process improvement.
  • Experience using Microsoft Excel to organize and analyze data; experience from coursework, academic projects, or previous internships is acceptable.
  • Strong analytical and problem-solving skills, including the ability to work with data and translate findings into practical recommendations.
  • Good written and verbal communication skills and an interest in working with cross-functional teams.
  • Ability to learn and apply new information, skills, digital tools, and AI thoughtfully to improve efficiency and generate insights.
  • Ability to read and interpret data, information, and documents.
  • Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency, and professionalism.
  • Attention to detail and a high degree of accuracy.
  • Ability to perform effectively in a demanding environment with changing workloads and deadlines.
  • Demonstrated ownership, accountability, and a results-driven approach.
  • Ability to identify bottlenecks and drive improvements.
  • Ability to work independently or as part of a team, follow through on assignments with minimal supervision, and work according to procedures and timelines.
  • Open, clear, concise, and professional communication skills.
  • Ability to establish and maintain cooperative working relationships with managers, coworkers, and customers.
  • Must be authorized to work in the United States without employer sponsorship.

Nice To Haves

  • Experience or interest in using AI-enabled productivity tools, such as Microsoft Copilot, to support data analysis, research, problem solving, and effective communication.
  • Experience with Power BI, Copilot, LEAN, or Six Sigma is relevant to examples of past projects, but is not stated as a required qualification.

Responsibilities

  • Analyze supply chain data and current processes to identify gaps and improvement opportunities.
  • Work with cross-functional stakeholders to develop practical recommendations related to material availability, planning, and operational process effectiveness.
  • Document findings and present recommendations to the team, including an end-of-summer presentation about internship accomplishments.
  • Potentially identify and document goals and targets, including key performance indicators.
  • Potentially evaluate processes and update documentation using continuous improvement methodologies such as LEAN and Six Sigma.
  • Potentially create data visualizations to identify opportunities for automation using tools such as Power BI or Copilot.
  • Potentially collaborate with CSCM colleagues to identify Best Known Methods.
  • Potentially participate in projects to improve material-flow performance.
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