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Location

Ingolstadt | Germany

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Job description

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 "Perception ADAS & AD" team, is working on cutting-edge sensor systems for enabling best-in-class automated driving and parking as well as advanced driver assistance systems based on a common sensor & perception tech stack. 
We are looking for a Master thesis writer to work closely together with the "perception ADAS & AD" staff to support in data-driven development to provide a safer and more comfortable mobility experience. The agile development team includes engineers with various backgrounds such as computer vision experts, test engineers, data scientists, and back-end software developers.

WHAT YOU WILL DO

• Identify and detect interesting driving scenarios by using unsupervised learning methodologies.
• Implement data processing functions with Python.
• Combine rich datasets comprising of vehicle and bus signals along with detection outputs from the environment perception systems.
• Evaluate scenes with video data.
• Uncover hidden relationships within complex automotive data.

WHO YOU ARE

• Enrolled student (or bachelor's graduate starting master's program as soon as possible) in Engineering, Innovation, Technology Management, Digitalization or equivalent field.
• Affinity to data-driven development and machine learning.
• Advanced programming skills in Python.
• Good to very good academic performance.
• Fluent in English, German would be beneficial.
• Strong analytical understanding and communication skills.
• Organized and independent way of working.

NICE TO KNOW

• Duration: 6 months
• 35-hour week
• Flextime / optional working hours

YOUR RECRUITING CONTACT

Carmen Dörwald

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