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At European Recruitment, our sectors cover a wide range of industries within the field of technology
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range of industries within the field of technology
At European Recruitment, our sectors cover a wide
range of industries within the field of technology
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Data-driven Safety Argumentation Expert
You will be joining an innovative automotive engineering lab within a world-leading technology company at their lab Munich.
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Responsibilities
- Foster an innovation-driven mindset to explore new methods for achieving safety goals, pushing the boundaries of AI-based safety.
- Develop SOTIF safety argumentation concepts using statistical approaches and probabilistic frameworks.
- Analyze real-world data to extract safety evidence that supports safety argumentation.
- Derive effective V&V measures and requirements for data collection to underpin data-driven safety argumentation.
- Stay current with industry standards, regulations, trends, and best practices, sharing key insights within the organization to enhance our ADS solutions.
Qualifications
- MSc or PhD in Computer Science, Electrical Engineering, or equivalent experience in automotive system/software safety engineering.
- Extensive experience in data analytics, statistics, and probability frameworks.
- Proficient in Bayesian methods, Monte Carlo simulations, sensitivity analysis, or similar approaches.
- Practical experience in automotive safety engineering and safety concept definition, including ISO26262, ISO21448, HAZOP/HARA/FMEA/FTA/STPA methods, scenario-based verification, and residual risk quantification.
- Hands-on attitude with a positive approach to inspire and motivate teammates.
- Professional proficiency in English; knowledge of German and/or Chinese is advantageous.
- Willingness to travel abroad up to 25% of the time.
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