Data Science Specialist

You will work across multiple fields: tire pressure and tire wear, as well as other automotive use cases. Your work is always driven by physics and a solid understanding of the field., Virtual Sensor Development:

• Develop and improve our Virtual Sensors, with a clear focus on robustness and accuracy.
• Combine physical understanding with data-driven methods to build reliable models for automotive use cases such as tire pressure and tire wear.

Deployment for Series Usage:

• Deploy Virtual Sensor solutions for series usage.
• Plan and carry out tests and validation to ensure the solutions meet the requirements of series application.

You are passionate about turning physical understanding into software that replaces hardware in the vehicle. You bring:

• A degree in mechatronics, mechanical engineering, or a similar field
• 3-5+ years of experience in model development
• Experience with signal processing for time series in the time and frequency domain
• Experience with modelling and system-based approaches
• Experience with Matlab/Simulink

• Solid knowledge of vehicle technology

• Knowledge of Machine Learning concepts and durability engineering is an asset