You 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.