Job Properties
  • Job Type
    Full-time Position
  • Category
    Software & Information Technology
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Nijmegen
    • Date Posted
      July 16,2022
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    Master Student - Thermal Engineering

    The Business Line Radio Frequency Processing is enabling the car to sense its environment for advanced driver assistance toward autonomous driving and zero road fatalities and supporting the entire automotive chain from antenna to speakers. In this exciting role, you will be challenged by taking your part in the future of Automotive.

    YOUR RESPONSIBILITIES

    In our Car Radio and Autonomous Driving products, power dissipation becomes more and more critical. This implies a deep analysis of different aspects from the system down to the design. In this assignment you will focus on different aspects with respect to power behavior by investigate if, with the help of ML, we can make a more accurate power estimation model for technology specific aspects using available tester data, estimator information and simulation data.

    The main objectives for this thesis topic are as follows:

    • Analyze the tester and product measured data of existing devices
    • Evaluate and categorize the data for proper data handling
    • Determine the input parameters for boundary settings
    • Build a ML model based on measured data, estimator info and simulation data
    • Research on ML model stacking using multiple output parameters
    • Evaluate the model(s) based on existing and new designs data and results

    WHAT’S IN IT FOR YOU

    • Ability 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

    WHO ARE WE

    We are a team of 20 engineers located in Nijmegen. You will be cooperating closely with four members of our thermal competence team.

    YOUR PROFILE

    • Master student in Electrical Engineering / Computer Science or related field
    • Some affinity with complex designs
    • Affinity and knowledge of ML methods
    • A basic level of analysis capabilities in the field of power and thermal aspects
    • Eagerness to learn new tools
    • Good communication skills in English (both verbal and written)
    • Pro-active, high energy, open-minded, eagerness to learn

    DURATION

    Fulltime (40 hours per week) for a duration of a minimum of six months up to 12 months (internship and thesis combination is possible).

    Please note that in order to be considered for an internship/working student, you need to be registered as a student during the entire period.

     
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