Intern Vehicle Dynamics

Intern / Student, Full or part-time · Darmstadt

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Your mission

You will be at the heart of the prototyping phase of an innovative automotive product, working closely with Machine Learning experts and the Product Manager. Your main responsibility will be to validate and refine the labeling of vehicle manoeuvres based on time-series data (no perception sensor).

Key Responsibilities

  • Collaborate hand-in-hand with ML experts and the Product Manager to support the development of a cutting-edge automotive solution.

  • Analyze vehicle time-series data to identify, validate, and label various driving manoeuvres under different operating conditions.

  • Apply strong analytical thinking and in-depth understanding of vehicle dynamics to ensure the accuracy and consistency of data labeling.

  • Contribute to the prototyping process by providing insights and feedback that enhance data quality and model performance.

Your profile
  • Master student in Mechatronics or Mechanical Engineering, with solid knowledge of vehicle dynamics.

  • Proficiency in Python for data analysis and scripting.

  • Strong analytical and problem-solving mindset.

  • Interest in innovative automotive technologies and AI-based product development.

  • Experience with time-series data analysis is a plus.

About us

COMPREDICT is driving the paradigm shift towards software-defined vehicles, offering next-level solutions for sustainable mobility. Founded in 2016 in Darmstadt, Germany, by Dr. Rafael Fietzek and Dr. Stéphane Foulard, our focus lies in developing Virtual Sensors for Mobility to optimize vehicle design, usage, and maintenance. We partner with and serve automotive manufacturers and Tier1 companies worldwide. With a diverse team of 35+ members from 10 different nations, we are on an exciting journey of growth and innovation.

Ihre Aufgaben

You will be at the heart of the prototyping phase of an innovative automotive product, working closely with Machine Learning experts and the Product Manager. Your main responsibility will be to validate and refine the labeling of vehicle manoeuvres based on time-series data (no perception sensor).

Key Responsibilities

  • Collaborate hand-in-hand with ML experts and the Product Manager to support the development of a cutting-edge automotive solution.

  • Analyze vehicle time-series data to identify, validate, and label various driving manoeuvres under different operating conditions.

  • Apply strong analytical thinking and in-depth understanding of vehicle dynamics to ensure the accuracy and consistency of data labeling.

  • Contribute to the prototyping process by providing insights and feedback that enhance data quality and model performance.

Ihr Profil
  • Master student in Mechatronics or Mechanical Engineering, with solid knowledge of vehicle dynamics.

  • Proficiency in Python for data analysis and scripting.

  • Strong analytical and problem-solving mindset.

  • Interest in innovative automotive technologies and AI-based product development.

  • Experience with time-series data analysis is a plus.

Über uns
COMPREDICT treibt den Paradigmenwechsel hin zu softwaredefinierten Fahrzeugen voran und bietet erstklassige Lösungen für nachhaltige Mobilität. Gegründet wurde das Unternehmen 2016 in Darmstadt, Deutschland, von Dr. Rafael Fietzek und Dr. Stéphane Foulard. Unser Fokus liegt auf der Entwicklung virtueller Sensoren für die Mobilität, um Fahrzeugdesign, -nutzung und -wartung zu optimieren. Mit einem vielfältigen Team von über 35 Mitgliedern aus 10 verschiedenen Natione arbeiten wir partnerschaftlich mit Automobilherstellern und Zulieferunternehmen weltweit zusammen. 
Your application!
We appreciate your interest in COMPREDICT GmbH. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at applications@recruiting.compredict.de.
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