Intern Tire Wear
1.000 € pro Monat
Lesen Sie die Stellenbeschreibung in: Englisch EN
Deutsch
Your missionYou will be investigating new methods to extend the field of possibilities for tire wear estimation, especially for fleet management. Your main responsibility will be to adapt a Virtual Sensor to work on low frequency data as part of an exploration activity.
Key Responsibilities
- Collaborate hand-in-hand with Data-Scientists to support the development of a cutting-edge automotive solution.
- Understand and modify an existing approach to adapt to challenges from low frequency time series typically available for fleet monitoring.
- Imagine,implement and evaluate different approaches for this Virtual Sensor.
- Contribute toan exploratory phase of a Virtual Sensor to shape a new market positioning.
- Bachelor or Master student in Mechatronics or Mechanical Engineering, with knowledge of vehicle dynamics and signal processing.
- Proficiency in Matlab/Simulink and Python for data analysis and scripting.
- Strong analytical and problem-solving mindset.
- Interest in innovative automotive technologies development.
- Experience with time-series data analysis is a plus.
Auf diese Stelle bewerben
About usCOMPREDICT 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 AufgabenYou will be investigating new methods to extend the field of possibilities for tire wear estimation, especially for fleet management. Your main responsibility will be to adapt a Virtual Sensor to work on low frequency data as part of an exploration activity.
Key Responsibilities
- Collaborate hand-in-hand with Data-Scientists to support the development of a cutting-edge automotive solution.
- Understand and modify an existing approach to adapt to challenges from low frequency time series typically available for fleet monitoring.
- Imagine,implement and evaluate different approaches for this Virtual Sensor.
- Contribute toan exploratory phase of a Virtual Sensor to shape a new market positioning.
- Bachelor or Master student in Mechatronics or Mechanical Engineering, with knowledge of vehicle dynamics and signal processing.
- Proficiency in Matlab/Simulink and Python for data analysis and scripting.
- Strong analytical and problem-solving mindset.
- Interest in innovative automotive technologies development.
- Experience with time-series data analysis is a plus.
Auf diese Stelle bewerben
Über unsCOMPREDICT 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.
Auf diese Stelle bewerben
Wir freuen uns auf Sie!Wir freuen uns über Ihr Interesse an der COMPREDICT GmbH. Bitte füllen Sie das folgende kurze Formular aus. Sollten Sie Schwierigkeiten mit dem Upload Ihrer Daten haben, wende Sie sich gerne per Email an applications@recruiting.compredict.de.
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