Master Thesis - Unsupervised Learning for Autonomous Driving - Sensor Perception (m / f / d) - [...]

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche - supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey!

YOUR TEAM

We offer you an exciting opportunity for your master thesis in our sensor & perception data team in the field of Sensors ADAS&AD. For the following topic you get the responsibility: automated driving and parking as well as advanced driver assistance systems. The aim of this master thesis is the development of autonomous driving.

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

• Find rare and interesting scenes by using unsupervised learning methodologies
• Implement data processing functions with Python
• Combine rich dataset comprising of vehicle and bus signals along with detection outputs from the perception systems
• Evaluate scenes with video data
• Uncover hidden relationships within complex automotive data
• Compare different vision model results as part of model validation
• Evaluate new ways of searching video data

WHO YOU ARE

• Enrolled student in Statistics, Engineering, Computer Science, Mathematics, Physics, or equivalent field
• Affinity to automotive industry
• Knowledge of data-driven development and machine learning
• Fluent in English, good knowledge of German
• Strong analytical understanding and communication skills
• Well-structured and independent way of working

NICE TO KNOW

• Remote work options within Germany
• Duration: 3 to 6 months
• 35-hour week

At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at careers@cariad.technology.