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.