About this role

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

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

PhD Student – AI Usage in CI/CD/CT Pipelines for Secure Compute Platforms in Automotive

Key skills