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Job Description
You will join the Bosch Application team in Turin, working in a dynamic automotive environment on advanced engine control systems. Supported by experienced engineers, you will gain hands-on experience in data analysis applied to real vehicle development projects,



contributing to innovation in Functional Safety validation.
You will work with real measurement data (vehicle and test bench) and advanced tools, with the opportunity to transform raw data into structured insights supporting safety validation processes.
Thesis Objectives
The goal of the thesis is to develop a data-driven methodology for Functional Safety validation of Engine Control Units (ECUs) , leveraging advanced data analytics and automated reporting tools (e.g. EATB).
The main activities include:
- Define a methodology to structure and label data analysis results from vehicle validation, ensuring traceability to Functional Safety requirements
- Perform root-cause analysis of availability and robustness issues identified during vehicle testing
- Develop KPI-based metrics and data-driven validation criteria (e.g. adaptive thresholds, signal envelopes) to assess safety performance
- Build a data-

📌 Data Analytics Thesis: Functional Safety for ECUs (Torino)
🏢 Bosch Italia
📍 Torino