PhD Student - AI usage in CI/CD/CT Pipelines for secure Compute Platforms in Automotive (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
Are you interested in Offensive-Security as well as AI technologies and looking for a PhD work?
Then our team is waiting for you! We are looking for the right talents to support us on our way to "Leading the evolution to the most secure mobility products" within the Compute Platform. Here we are not only developing the next generations of the most powerful automotive ECU's and Software, but also the technologies and methods to secure our products from the world outside.
You will work together with some of the best automotive security specialists within our company and develop AI based methods to strengthen the verification process from code to car.

WHAT YOU WILL DO

• Research and Development in the area of security Methods (Whitebox/Blackbox Fuzzing with LLM/AI)
• Research and Development in the area of security Concepts to use Fuzzing as prediction on Vulnerability and Incident
• Research and Development in the area of security Documentation (Security Reports, Risk analysis, and secure coding standards)
• Specification and Implementation of identified Methods/Concepts/Documentation into a CI/CD/CT Pipeline
• Automatic generation of Testcases, Test procedure, Test reports and Product Quality Matrix
• Rephrase Analysis for how to automate Mock Scenarios
• Analysis of implementation on effects for Test-run, efficiency and coverage, cost and performance

WHO YOU ARE

• Master's degree in the field of Computer Science, Electrical Engineering, or equivalent field
• Knowledge in Fuzzing (Black to white, state of the art tools)
• Programming Language (C, C ++ 20, Java, RUST, Python)
• Knowledge of automotive engineering fundamentals code analysis (e.g. Misra, Sanitizer)
• Knowledge in pipeline flow and setup (Jenkins, Docker, Build scrips, GitHub, Copilot and Azure)
• Knowledge in CycloneDx , JSON and YAML is advantageous
• Team-oriented, growth-minded, goal-focused, and communicative

NICE TO KNOW
Start date: flexible (with a fixed contract of three years)
• Flexible working hours and the opportunity to do remote work
• Attractive remuneration & compensation package
• Networking events, trainings & exciting workshops
• You get a fixed annual salary of (based on 13 months):
Year 1: 43.654 EUR (brutto)
Year 2: 48.503 EUR (brutto)
Year 3: 53.365 EUR (brutto)
Important: The PhD admission requirements are set by the university, and candidates have to fulfill these requirements before starting their projects. Candidates are responsible for finding a professor for supervision before joining Cariad. A written confirmation by the designated supervisor is required before onboarding (not necessary for the application).

If you have further questions about the candidate journey at CARIAD, talk to Cari, our CARIAD Chatbot. Can't see it? Check your settings or visit our FAQ
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.