Internship – AI and Data Research for Urban Mobility (m/f/d)

At CARIAD, we're bundling and further expanding the Volkswagen Group's software expertise. We’re uniting over 6,500 global experts to build a scalable technology stack, including a software platform, unified electronic architecture and reliable connection to the automotive cloud. Our CARIDIANS are developing vehicle functions such as driver assistance systems, a next-generation infotainment platform, power electronics and charging technology, and digital services in and around the vehicle.
Our software can already be found in Volkswagen ID. models and will soon power Audi and Porsche vehicles with the E3 1.2 platform in 2024.

It's no easy task, but with experts like you, we can shape the future of mobility. Join us at CARIAD and be part of this exciting journey!

YOUR TEAM

Our "Intelligent Cockpit and Body" team is seeking a driven intern to contribute to an innovative project focused on "Data-Driven Infrastructure Optimization." This project offers a unique opportunity to dive deep into research and analysis, with a direct impact on the future of in-vehicle experiences.
Our team plays a pivotal role in the pre-development phase in infotainment, where we lay the groundwork for cutting-edge features that will redefine mobility. We are committed to enhancing the customer experience by creating intuitive, empathetic solutions that simplify and enrich the driving journey.
As an intern, you will work alongside talented and passionate professionals who are dedicated to delivering inspiring and groundbreaking experiences. You’ll be at the forefront of predicting and understanding customer needs, helping to design the next generation of infotainment and user experience features in vehicles.

WHAT YOU WILL DO

• Conduct literature reviews on specific topics related to dilemma zones, traffic optimization, reinforcement learning, or other areas of interest
• Assist in developing algorithms for dilemma zone identification, prediction, or traffic light optimization
• Analyze data to identify patterns and insights related to infrastructure optimization and vehicle behavior
• Implement algorithms using programming languages such as Python and Machine Learning libraries such as PyTorch and TensorFlow
• Set up simulations to test hypotheses or validate models related to traffic optimization and dilemma zones
• Develop visualizations such as graphs, heatmaps, and dashboards to present findings effectively

WHO YOU ARE

• Enrolled Master’s student in the area of Computer Science, Data Science or equivalent field
• Solid knowledge in designing, implementing, and training neural networks with common Machine Learning frameworks such as PyTorch and TensorFlow
• Practical experience in Azure Machine Learning would be a plus
• Fluent in English. German would be beneficial

NICE TO KNOW

• Remote options
• Duration 3-6 months
• 35 hours per week
• If you have further questions about the candidate journey at CARIAD, please contact us: 

YOUR RECRUITING CONTACT

Carmen Dörwald

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