Job Properties
  • Job Type
    Full-time Position
  • Category
    Software & Information Technology
  • Languages
  • Experience Required
  • Degree Required
    • Province
    • Date Posted
      December 04,2021
    • Entrusting Package
    • JSS
    • VISA
    • IMG_6430
    • Career Consultation

    Data Analytics Manufacturing IT Internship

    Your Team

    Manufacturing IT Nijmegen implements, develops and maintains IT solutions that enables the semiconductor factory ICN8 to run their operations effectively and efficiently and to continuously improve their performance.

    The fabrication of semiconductors is complex and challenging, has long production lead times (up to 4 months), the production facility contains many very complex tools and during production a huge amount of data is generated. In our big data analytics journey so far we have built a Big Data cluster (Hadoop) with over 400 billion production quality records. We are developing applications that can find the cause for yield incidents, using these records.

    Your Responsibilities

    The challenge we offer you:

    • You will be working on the development of a model to analyze the correlation lot quality and production data aiming at predicting product quality.

    • On top of that find practical applications based on its model, that will help our yield and process engineers.

    • You will be working in the Manufacturing (MFG) IT Data Analytics Team at NXP-Nijmegen

    • Apply Data analytics and machine learning in a complex fabrication process

    • Present the solution and results towards IT and the yield and process engineers

    In this you will be guided and supported by 3 persons

    A new university graduate Data Science now working 9 months in our team Two very experienced data engineers (Functional and Technical)

    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 real assignments which contribute to NXP’s objectives

    Your profile

    • You are an enrolled master student Data Science or another relevant master, during the entire internship

    • Enthusiastic and showing initiative

    • Able to work independently and as part of a small team

    • Project approach (mindset) with can do-attitude

    • Good communication in English and/or Dutch

    • Result oriented

    • Effective communication skills

    • Good analysis and problem-solving skills

    • Understanding of various machine learning models and it’s applications

    • Understanding of different data sets and how to process them for usage for a machine learning model

    • Solid mathematical background


    This is a full-time internship (40 hours per week) with a duration of 6 months or longer. The assignment could also be suitable as a thesis/graduation project.

    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.

    Ready to create a smarter world? Visit our career website and follow us on social: LinkedIn , Facebook , Twitter .

    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


    Additional information can be found by visiting .

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