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Engineering (graduation) Internship: A Data-Driven Prediction Model

1 maand geleden


Veldhoven, Nederland ASML Voltijd

Introduction

Are you a student in Engineering, with a specialization or affinity with Data Science? Do you possess a strong drive with great stakeholder management skills? If yes, this assignment in our EUV factory could be interesting for you

Background information

The EUV Factory (EF) organization is responsible for the system build and install of EUV systems. Within the EUV factory, the EF System Engineering department is the factory representative in the early design process of the new systems. The EF system engineers have the task on one hand to understand the (high level) impact of the new systems on the factory and to minimize this impact, and on the other hand to secure factory requirements into the system design. The goal is to ensure a smooth introduction of new systems, within the cycle time and cost targets.

Your assignment

The ASML EUV Factory strives for efficient manufacturing processes, but new system designs often encounter issues once they reach the production environment which require upgrades. This leads to delays (cycle time increase), rework, and disrupts the flow of production. Quantifying the risk and impact of upgrades during the development phase of new lithography systems is challenging. This information is crucial to prepare the factory resources and mitigate the impact of potential design flaws/upgrades.

This assignment aims to develop a data-driven approach to improve new system design success in manufacturing by predicting and catching design flaws during engineering reviews. You will leverage your skills in data analysis and engineering principles to build upgrades prediction model and engineering review guidance for factory engineers.

This assignment has 4 different layers:

Data Collection and Integration:

Identify, access and integrate relevant data sources (e.g., design documents, manufacturing logs, upgrade requests)

Clean and pre-process the data for analysis

Root Cause Analysis:

Analyze the collected data to identify and categorize the root causes of design flaws encountered in past systems/platforms

Quantify the impact of these design flaws on the manufacturing process (e.g., cycle time increase, rework percentage)

Prediction Model Development:

Utilize data science techniques to develop a model that can predict the likelihood of design flaws (needed upgrades) on new system design based on historical upgrades data

Engineering Guidance:

Develop a set of guidelines for factory engineers to incorporate into the design and review process

These guidelines should leverage the findings from the data analysis and aim to prevent common design flaws encountered in past systems

Your profile

To be the perfect match for this internship, you:

Are a bachelor/HBO student looking for a graduation project or a master student looking for an apprentice internship;

Have a study background in Engineering, with a specialization or an affinity with Data Science;

Have (project) experience with engineering root cause analysis and data modeling;

Have good interpersonal skills, are self-driven and persistent.

The minimum duration of this internship is 5 months, for 3 days per week (minimum 1 day working on-site). The start date is as of September 2024.

Change the world – one nanometer at a time

Become an intern at a Dutch company that’s a global industry leader. You’ll gain valuable experience in a highly innovative environment – one that sparks your imagination and creativity. In addition to a monthly internship allowance of maximum €600 (plus a possible housing and/or travel allowance), you’ll get practical guidance from experts in the field and the chance to work in and experience a dynamic team environment.

ASML: be part of progress
ASML is a high-tech company headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. What we do is at the heart of all the electronic devices that keep us informed, entertained and connected. Every day, you use electronics that simply wouldn’t exist without our machines.

Behind ASML’s innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, and computer science and software engineering.

We believe we can always do better. We believe the winning idea can come from anyone. We love what we do – not because it’s easy, but because it’s hard.

Students: getting ready for real-world R&D
We’re a global team of about 40,000 people of 140 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.

In such an environment, your colleagues may be sitting next door, or they could be thousands of kilometers away in a different country – or even working for a different company.

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.

Need to know more about applying for a job at ASML? Read our .


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