Introduction The Applied Data Science Technical Competence team at ASML develops data-driven solutions that improve machine performance through machine learning and artificial intelligence. Working closely with domain experts, the team transforms complex data into practical solutions that
Introduction The Applied Data Science team at ASML develops data-driven solutions that help improve the performance, reliability, and efficiency of advanced semiconductor manufacturing systems. You will work alongside experienced data scientists and collaborate with experts from different
Job TitleIT Solution Architect Industry 4.0 Job Description The Solution IT Architect – Industry 4.0 drives the architecture and design of digital manufacturing solutions across Philips global enterprise landscape. This role connects business strategy, manufacturing operations,
Introduction to the job As a Senior Security Risk Manager – Sensitive Intellectual Property Domain, you help protect the technologies that power the global semiconductor industry. At ASML, our lithography systems enable chipmakers to create increasingly
We are seeking a highly skilled IT Infrastructure Automation Engineer to design, develop, and implement automation solutions across our enterprise IT infrastructure landscape. In this role, you will leverage your broad infrastructure expertise to automate and
Introduction to the job As an innovation leader in the semiconductor industry, ASML wants to take its responsibility and be a top performer on Environmental, Social and Governance (ESG) Sustainability. We are on a journey to
Introduction to the job As a NIS2 Expert, you help protect the digital backbone that supports the world’s most advanced semiconductor technology. In this role, your work directly contributes to ASML’s ability to design, manufacture, and
Location: Netherlands. Working hours: 40 hours/week Work model: Hybrid Contract type: Permanent About the role Are you passionate about securing our complex SAP landscape while enabling our business to operate confidently in a rapidly evolving digital
Job TitleInternship: AI & Automation (non-thesis) Job Description Start Date: as soon as possible Duration: 6 months Type: Internship (non-thesis) Weekly Presence: 40h (minimum 32h) Location: Best (3x per week) Internship: AI & Automation (non-thesis) At
Job TitleInternship/Graduation: Improving Engineering Productivity with AI Job Description Assignment type: Internship/graduation Start date: Oktober 2026 Assignment duration: 6 months Location: Veghel Education level: Master Desired study: Data Science, Human-Technology Interaction, Artificial Intelligence & Engineering Systems, Industrial
Job grade: AD 10 Inter-agency job grade: , Internal EMA job grade: AD08 (with 2 years seniority in the grade) and above Type of position: Temporary agent Selection procedure reference: EMA/AD/11525 Job title: Head of Department: