Computer Science | Artificial Intelligence Internship: AI Delivery Control Tower

ASML; Veldhoven; Sur place; EUR 13 000 - 20 000; Temps partiel

Résumé du poste

ASML in Veldhoven invites a master's student to join the System Delivery Management team on an AI-focused internship to design and demonstrate an AI-powered control tower that supports operational decisions. You will analyze workflows, explore generative AI and agents, and develop prototypes to address challenges, presenting outcomes to stakeholders.

This six-month internship requires 3 days on-site and 4–5 days per week, starting February 2027.

Qualifications

• Pursuing a master's degree in Data Science, Artificial Intelligence, Computer Science, or a related engineering field.
• Hands-on experience with artificial intelligence through academic projects, research, internships, or professional experience.
• Strong technical and analytical mindset.
• Proactive, collaborative, and comfortable engaging with different stakeholders.
• Ability to translate technical concepts into practical business value.

Responsabilités

• Analyze current operational workflows and identify improvement opportunities.
• Investigate how generative AI and intelligent agents can support decision-making.
• Design and develop AI-powered prototypes to address operational challenges.
• Build and evaluate AI agents that support information gathering and action tracking.
• Explore methods to predict operational risks and improve readiness assessments.
• Translate technical findings into practical recommendations for stakeholders.
• Present results, demonstrations, and improvement proposals to stakeholders.

Connaissances

AI/ML experience

Analytical mindset

Stakeholder communication

Proactive collaborator

Formation

Master's degree in Data Science / AI / CS

Description du poste

Introduction

At ASML in Veldhoven, the System Delivery Management team plays a key role in coordinating the delivery of highly complex systems. The team works across multiple business functions to support operational decision-making, improve visibility into potential risks, and enhance collaboration. As data volumes and operational complexity continue to grow, there is an opportunity to leverage artificial intelligence to support faster and better-informed decisions. In this internship, you will help design and demonstrate an AI-powered solution that enables operational teams to work more effectively. This internship offers the opportunity to contribute to a real business challenge with visible impact.

Your assignment

During this internship, you will explore how artificial intelligence can support operational processes and decision-making within System Delivery Management. You will investigate business challenges, identify opportunities for automation and prediction, and develop practical AI solutions. The ultimate goal is to design and demonstrate an AI-powered System Delivery Control Tower that helps teams make faster and better-informed decisions.

Your main responsibilities will be:

• Analyze current operational workflows and identify improvement opportunities
• Investigate how generative AI and intelligent agents can support decision-making
• Design and develop AI-powered prototypes to address operational challenges
• Build and evaluate AI agents that support information gathering and action tracking
• Explore methods to predict operational risks and improve readiness assessments
• Translate technical findings into practical recommendations for stakeholders
• Present results, demonstrations, and improvement proposals to stakeholders

This is a master thesis/non-theses internship for minimum 6 months, minimum 4-5 days per week (3 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 master's degree in Data Science, Artificial Intelligence, Computer Science, or a related engineering field
• Have hands-on experience with artificial intelligence through academic projects, research, internships, or professional experience
• Have a strong technical and analytical mindset
• Are proactive, collaborative, and comfortable engaging with different stakeholders
• Can translate technical concepts into practical business value

This internship is particularly suitable for students who enjoy solving complex problems and creating innovative AI-based solutions. During this internship, you will work closely with experienced professionals while gaining exposure to operational strategy, advanced analytics, and digital transformation initiatives. Your contribution can help shape the future of AI-enabled operational decision-making at ASML.

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.

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.