Your mission
You will be investigating new methods to extend the field of possibilitiesfor tire wearestimation especiallyforfleet 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
- Collaboratehand-in-handwithData-Scientiststo support the development of a cutting-edge automotive solution.
- Understand andmodifyan existing approach to adapt to challenges from low frequency time series typically available for fleet monitoring.
- Imagineimplementand evaluate different approaches for this Virtual Sensor.
- Contribute toan exploratory phase of a Virtual Sensor to shape a new market positioning.
Your profile
- Bachelor or Master student in Mechatronics or Mechanical Engineering with knowledge of vehicle dynamicsand signal processing.
- ProficiencyinMatlab/SimulinkandPython for data analysis and scripting.
- Strong analytical and problem-solving mindset.
- Interestin innovative automotive technologies 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.
Required Experience:
Intern
Your missionYou will be investigating new methods to extend the field of possibilitiesfor tire wearestimation especiallyforfleet management. Your main responsibility will be to adapt a Virtual Sensor to work on low frequency data as part of an exploration activity.Key ResponsibilitiesCollaboratehand...
Your mission
You will be investigating new methods to extend the field of possibilitiesfor tire wearestimation especiallyforfleet 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
- Collaboratehand-in-handwithData-Scientiststo support the development of a cutting-edge automotive solution.
- Understand andmodifyan existing approach to adapt to challenges from low frequency time series typically available for fleet monitoring.
- Imagineimplementand evaluate different approaches for this Virtual Sensor.
- Contribute toan exploratory phase of a Virtual Sensor to shape a new market positioning.
Your profile
- Bachelor or Master student in Mechatronics or Mechanical Engineering with knowledge of vehicle dynamicsand signal processing.
- ProficiencyinMatlab/SimulinkandPython for data analysis and scripting.
- Strong analytical and problem-solving mindset.
- Interestin innovative automotive technologies 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.
Required Experience:
Intern
View more
View less