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Business Engineering | Industrial Engineering internship: production planning optimization

ASML is hiring a Business Engineering | Industrial Engineering internship: production planning optimization. Level rates it ; you can apply on ASML.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Excel, Python and supply chain management among its tools and skills.
  • Level classes it as an internship.
  • ASML has 775 other open roles on Level.
  • Posted within the past week.

AI in this role

Internship focused on production planning optimization, capacity analysis, and operational process improvement in a manufacturing environment.

ExcelPython
supply-chain-managementoperations-managementdata-analysisprocess-improvement

Introduction

The Master Planning team within Twinscan Factory is responsible for translating production demand into a feasible and reliable factory plan. In this Business Engineering | Industrial Engineering internship: production planning optimization, you will help improve how production capacity, demand, and factory constraints are balanced for one of the world's most advanced manufacturing environments. Working in Veldhoven, you will contribute to decision-making that supports factory output, delivery performance, and operational efficiency. This internship offers the opportunity to combine analytical thinking, stakeholder collaboration, and process improvement in a highly complex production environment. If you enjoy solving operational challenges using data and structured analysis, this internship could be a great fit for you.


Your assignment

As part of the Master Planning team, you will support the development and improvement of production planning processes that help ensure reliable factory performance. You will analyze production capabilities, identify planning improvement opportunities, and work with stakeholders across manufacturing and operations to support data-driven decisions. During this internship, you will gain exposure to strategic production planning while contributing to tangible operational improvements. Your main responsibilities will be:

  • Analyze factory production plans and identify opportunities to improve planning performance.
  • Evaluate production capacity and compare capabilities against future demand scenarios.
  • Support improvement initiatives that increase planning reliability and operational efficiency.
  • Assess planning risks and recommend actions to address potential gaps.
  • Collaborate with operational stakeholders to align planning assumptions and priorities.
  • Develop analyses and insights that support production planning decisions.
  • Contribute to projects focused on improving and automating planning processes.

This is a bachelor's or master's non-thesis internship for minimum 5 months, minimum 4 days per week (4 days on-site). The start date of this internship is as of February 2027.


Your profile

To be suitable for the internship, you:

  • Are pursuing a bachelor's or master's degree in Business Engineering, Industrial Engineering, Operations Management, Supply Chain Management, Data Science, Artificial Intelligence, or a related field.
  • Have an interest in production planning, operations management, and manufacturing environments.
  • Demonstrate strong analytical and structured problem-solving skills.
  • Are effective in stakeholder management and cross-functional collaboration.
  • Communicate clearly and can influence discussions using data and insights.
  • Show a proactive, curious, and results-oriented mindset.

The Business Engineering | Industrial Engineering internship: production planning optimization provides a unique opportunity to work on real planning challenges within a high-tech manufacturing environment. Throughout this internship, you will collaborate with experienced professionals and develop skills that are highly relevant for careers in operations, supply chain, business engineering, and manufacturing excellence.


Other requirements you need to meet:

  • You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
  • 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);
  • You attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;
  • You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.


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.


Do you want to know more about the internship allowance, visa support and applying for an internship at ASML? Read this page.

How we rate this

Business Engineering | Industrial Engineering internship: production planning optimization at ASML rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Supply Chain ManagementOperations ManagementData AnalysisProcess ImprovementExcelPython

Questions you could be asked

  1. Tell me about a project where supply chain management was part of your work. What did you do?
  2. Tell me about a project where operations management was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where process improvement was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Supply Chain Management, Operations Management, Data Analysis, Process Improvement, and Excel. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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