Description
As part of the development of vehicle dynamics systems, acoustic evaluation (NVH: Noise, Vibration, Harshness) is crucial to ensure driving comfort and quality. You will analyze vibration data from test benches, complete vehicles, and customer fleets to better understand real usage conditions and critical operating states.
Your task will be to develop and test AI-based methods for analyzing and optimizing NVH properties in vehicle dynamics systems based on an existing data structure. You will create practical tools for automating analysis, anomaly detection, and feature identification for concrete use cases in NVH development.
Responsibilities:
- Familiarize yourself with NVH development of vehicle dynamics systems
- Learn about the tools used by Porsche for data processing
- Further develop existing data pipelines for structured data management
- Design interactive dashboards for searching, visualizing, and evaluating measurement data
- Develop and validate AI-based analysis tools for automated measurement data evaluation and anomaly detection based on real development and fleet data
- Document and present results
Requirements:
- Study of Computer Science, Business Informatics, Data Science, or a comparable field
- Good knowledge of Python and practical experience in data processing and evaluation
- Basic knowledge of SQL and database management
- Initial experience with data platforms like Databricks or similar applications
- Interest in artificial intelligence and initial knowledge of machine learning
- Independent and structured work style
- Team ability and communication skills
Desirable qualifications:
- Experience with measurement data, time series, and data visualization
- Initial experience with automated data processing processes
- Knowledge of Git for version control
Language requirements:
- German
- English