Internship – Operations Management/Data Science

As integrated circuits (ICs) continue to shrink in size and grow in complexity, several challenges arise in the semiconductor manufacturing industry. This project will focus on quality control in a multi-stage manufacturing environment, leveraging data more effectively by combining a knowledge-driven and data-driven approach. The goal is to enable the prediction and prevention of product failures at the edge, contributing to the Zero-Defect Manufacturing concept. This will be performed at the Quality Information Systems team, focusing on wire bonding failures and connecting upstream and downstream manufacturing stages.

Must Have

• Define a Knowledge Graph based model to integrate relevant data and knowledge in the context of product quality.
• Demonstrate how a data-driven quality prediction model can be improved by integrating knowledge-driven factors.
• Research the deployability of the improved (hybrid) quality prediction model at the edge.
• Writing a literature review.
• Building a knowledge graph based model to enable device-level quality control.
• Building a prediction model integrating knowledge-driven and data-driven factors.
• Providing recommendations on how to improve quality control and operational decision-making at the edge.

Good to Have

• Pursuing a master in Operations Management, Operations Research, Data Science, Business Analytics or similar.
• Affinity with Quality Control, Knowledge graphs, and Manufacturing Systems.
• Proactive and Ambitious.

Perks & Benefits

• A great opportunity to develop your skills (technical, soft skills, communication, etc.).
• Gaining experience in a multinational and diverse environment.
• Possibility to become part of NXP’s Young Professional Talent Pool.
• Working on a real assignment which contribute to NXP’s objectives.

Internship – Operations Management/Data Science

The future starts here! Ready to join NXP?

As integrated circuits (ICs) continue to shrink in size and grow in complexity, several challenges arise in the semiconductor manufacturing industry. These include an increased risk of failures, greater difficulty in detecting quality issues, and longer time required to identify the root causes of these failures. As Total Quality is a strategic priority at NXP semiconductors, this project will focus on quality control in a multi-stage manufacturing environment. The goal is to leverage data more effectively by combining a knowledge-driven and data-driven approach to enable the prediction and prevention of product failures at the edge, which should contribute to the Zero-Defect Manufacturing concept.

This project will be performed at the Quality Information Systems team, part of the Total Quality Operation department, at NXP Semiconductors in Eindhoven. The project will focus on failures related to wire bonding, a critical assembly step in semiconductor manufacturing. Several upstream and downstream manufacturing stages will be connected, as those might influence the bond quality.

Objectives:

• Define a Knowledge Graph based model to integrate relevant data and knowledge in the context of product (device-level) quality.
• Demonstrate how a data-driven quality prediction model can be improved by integrating knowledge-driven factors.
• Research the deployability of the improved (hybrid) quality prediction model at the edge

Your Responsibilities

• Writing a literature review
• Building a knowledge graph based model to enable device-level quality control
• Building a prediction model integrating knowledge-driven and data-driven factors
• Providing recommendations on how to improve quality control and operational decision-making at the edge using the Knowledge Graph based model and the improved (hybrid) quality prediction model

What’s in it for you

• A great opportunity to develop your skills (technical, soft skills, communication, etc.)
• Gaining experience in a multinational and diverse environment
• Possibility to become part of NXP’s Young Professional Talent Pool
• Working on a real assignment which contribute to NXP’s objectives

Your Profile

• Your pursuing a master in Operations Management, Operations Research, Data Science, Business Analytics or similar
• Affinity with Quality Control, Knowledge graphs, and Manufacturing Systems
• Good Data Science and Analytics skills
• Programming experience: Python, SQL
• Communication and Presentation
• Problem Solving and Critical Thinking
• Adaptability and Learning
• Proactive and Ambitious

Duration

This is a full-time master thesis project (40 hours per week) with a duration of 6-9 months. Please note that in order to be considered for an internship/working student assignment, you need to be registered as a student during the entire period.

Creating Secure Connections and Infrastructure for a Smarter World

NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world. We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live. If you are as excited about this opportunity as we are, we kindly invite you to apply. After a screening based on your profile you can be expected to have a video interview with our Talent Acquisition Consultant followed by business.

What Can You Expect?

Development opportunities: We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we provide you with a mix of learning through on-the-job experiences, learning from industries bests, and learning through education to help you develop your core and professional skills.

Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.

Hiring process: Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your CV you will have an initial video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare.

And more: Life at NXP is more than work alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or participating in several volunteering activities.

What’s Next?

If you’re excited about this opportunity, we kindly invite you to apply! If you have any questions, we are happy to answer them. Please contact, Chanchal Sharma, Talent Acquisition Specialist on chanchal.sharma_1@nxp.com

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NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

Career Development Opportunities

Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP.

We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality

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Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips

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Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page

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