Artificial Intelligence | Engineering internship: AI applications in data crunching

Veldhoven, Building 06, Netherlands

ASML

ASML gives the world's leading chipmakers the power to mass produce patterns on silicon, helping to make computer chips smaller, faster and greener.

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Introduction

EUV Factory (EF) Install department is accountable for the installation of EUV Low and High numerical aperture (NA) Lithographical systems at our customers. We are working closely with the local CS UIR (Upgrades Installs and Relocations) team and multiple central stakeholders (Account Team, D&E, First Line Support, EHS, etc.) to remove obstacles, escalate bottlenecks and guarantee quality for our customers.

Your Assignment

One of our department targets for 2025 is to reduce the number of disturbances significantly to improve customer satisfaction, cycle Time and costs. Each disturbance is logged in a Service Order and in the case of a part replacement in a Material Notification. Currently we are at >400x Service Orders per Install and missing proper analytics to efficiently check our Top X on cycle time & costs. A lot of dashboards and reporting are already there, but they are not well-connected and this makes it overwhelming. Therefore, today it can be quite cumbersome to get the required views and validate these. Besides the Top X, we would also like to improve on finding trends, e.g. instead of focusing on an individual cable issue to look at the bigger picture of total number of cable issues that might require a redesign for instance / operator training / etc. Hence, your assignment is about embedding Artificial Intelligence to do the data crunching, while taking into account ASML confidentiality policies.

Your main tasks include:

  • Investigate the needs of the end-users of the Service Order & Material Notification, Top X and trends;

  • Investigate and improve the Service Order and Material Notification database;

  • Embed Artificial Intelligence within the EF Install organization;

  • Create a dashboard to plot the required data needs for the end-users;

This is a Master apprentice internship for 6 to 12 months, working minimum 4 days per week. The start date of this internship is as soon as possible, or the latest around September.

Your Profile

To be a fit for this assignment, you:

  • Are busy with your master's in Artificial Intelligence, or a relevant Engineering study;

  • Are able to work with multiple stakeholders in a complex environment;

  • Are proactive and have a hands-on mentality;

  • Are proficient in using Copilot;

  • Have good communication skills in English (verbal and written).

 

Other requirements you need to meet:

  • You are enrolled at an educational institute for the entire duration of the internship;

  • You are located in the Netherlands to perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate;

  • 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).

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.

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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Tags: Copilot Engineering R

Region: Europe
Country: Netherlands

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