PhD Candidate - Safe AI for ADAS/AD (f/m/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

Your future team is a competence center for processes, methods and tools to enable the CARIAD Tech Centers in their daily work. The competence center focusses on the areas of Engineering Data Backbone, Business Intelligence & Reporting and Artificial Intelligence (AI). We are looking for a Ph.D student in the area of Safe AI. In particular, you will carry out research on safety argumentation enabling AI engineering over the entire lifecycle of an AI function. This activity will be part of a nationally funded public research project with a consortium of academic and industrial partners, similar to “KI Absicherung”, “KI Tooling” or “PEGASUS”. Your work will contribute towards existing and upcoming standards (for example, ISO 26262, SOTIF ISO 21448, ISO/PAS8800) dealing with safety of road vehicles. The contract is limited to three years.

WHAT YOU WILL DO

• You will carry out research in the area of AI and vehicle safety focusing on perception tasks.
• You will also disseminate your work by collaborating in related development activities at CARIAD, thereby gathering practical experience on this field.
• You will extract and derive requirements and partial arguments for the process of extending the Operational Design Domain (ODD)
• You will inspect the data for quality and completeness and establish appropriate criteria
• You will establish metrics for the above mentioned topics and develop tests to assess them

WHO YOU ARE

• MSc studies (or equivalent) in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field with a strong focus on AI, Machine Learning, or Safety Engineering
• Solid knowledge of machine learning and computer vision; especially in perception tasks (eg. computer vision, sensor fusion) and understanding of ODDs
• Experience or familiarity with safety standards such as ISO 26262, SOTIF ISO 21448, ISO/PAS8800 is highly desirable
• Hands-on experience in software development, proficiency in Python, deep learning frameworks, and with cloud-computing services
• Strong problem solving skills with the ability to work independently and engage with both academic and industrial partners
• Fluent in English; level B2 in German, for communication and reporting in the consortium
  

NICE TO KNOW

• Duration: 3 years
• Remote work options
• Possibility to supervise students
• Temporary work from abroad in selected countries
• 30 days paid leave
• Location: Wolfsburg or Berlin
• Start date: anytime

YOUR RECRUITING CONTACT

Alice Wallner

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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