Working Student – Development ADAS & Automated Driving: Data analytics for UX evaluation of ADAS systems (m/f/d)

It’s time to reshape automotive mobility for everyone!

At CARIAD, we have the mission to create and deliver leading digital technology for the Volkswagen Group. We’re uniting over 6,000 global experts to build powerful software architectures that enable completely new customer experiences.
Iconic models like the Volkswagen ID. Buzz, Audi Q6 e-tron, and Porsche Macan 4 Electric are already equipped with CARIAD technology.

Join us at CARIAD and become part of an exciting journey to shape the future of mobility!

YOUR TEAM

Our department is looking for a working student to support the development of external requirements for ADAS & AD functions in the brands of the Volkswagen Group. The main focus of our organizational unit is to define requirements for future safety and driving systems with the aim of reducing accidents and increasing driving comfort. Hence, we are always interested in gaining new insights from databases reaching from naturalistic driving to accidentology and aligning them with requirements from different consumer organizations or regulations.

WHAT YOU WILL DO

• Analyze databases for specific research questions (e.g. derive from naturalistic driving data glance patterns which refer to unintentional and intentional driving maneuvers, investigate influencing factors like speed profiles or driver distractions in accidents with lane departure)
• Documentation of the gained knowledge for national and international committee work
• Contribute to technical papers for international conferences
• Support the team in comparing the identified insights with requirements of consumer organizations or regulations in different markets
• Define test scenarios and test methodologies

WHO YOU ARE

• Enrolled student in the area of engineering, science, or software development (please specify the expected date of your graduation or end of enrollment)
• Good programming skills (e.g. in Matlab or Python) with experience in data analytics
• Structured, analytical and independent way of working
• Fluent English and German language skills

NICE TO KNOW

• Duration: 6+ months
• 20 h/week, with the option to adjust to 35 h/week during semester break
• Remote work options within Germany
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology

YOUR RECRUITING CONTACT

Sandra Lehenmeier

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.

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