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Data-Driven Safety Expert

vor 2 Monaten


Munich, Bayern, Deutschland European Tech Recruit Vollzeit
Data-Driven Safety Argumentation Expert

Job Summary:

We are seeking a highly skilled Data-Driven Safety Argumentation Expert to join our team at a world-leading research center in Germany. As a key member of our team, you will be responsible for developing innovative safety argumentation concepts using statistical methods and probabilistic frameworks.

Key Responsibilities:

  • Develop and implement SOTIF safety argumentation concepts using data analytics and statistical methods.
  • Extract and analyze real-world data to generate safety evidence that supports safety argumentation.
  • Derive effective Verification and Validation (V&V) measures and requirements for data collection to strengthen data-driven safety arguments.
  • Stay informed on industry standards, regulations, trends, and best practices, sharing key insights influencing our ADS solutions.

Requirements:

  • MSc or PhD in Computer Science, Electrical Engineering, or equivalent experience in automotive system/software safety engineering.
  • Extensive experience in data analytics, statistical methods, and probabilistic frameworks.
  • Proficiency in Bayesian methods, Monte Carlo simulations, sensitivity analysis, or similar approaches.
  • Practical experience in automotive safety engineering, including defining safety concepts and working with ISO 26262, ISO 21448, and safety analysis methods such as HAZOP, HARA, FMEA, FTA, and STPA, as well as scenario-based verification and residual risk quantification.

What We Offer:

As a Data-Driven Safety Argumentation Expert, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of innovative safety solutions. If you are passionate about data-driven safety and have a strong background in automotive safety engineering, we encourage you to apply for this exciting opportunity.