Internship for Thesis Advanced Data Analytics for Functional Safety Validation
Core
Develop a data-driven methodology for Functional Safety validation of Engine Control Units (ECUs) using advanced data analytics and automated reporting tools.
Role type
Thesis intern (data analytics for functional safety)
Builds
Data-driven decision frameworks and validation criteria for ECUs
Domain
Automotive engineering / Functional Safety (ISO 26262)
Deliverable
production ML models | dashboards & analysis
Required skills
Python, MATLAB, data analysis, machine learning, SQL/NoSQL
Preferred skills
ECU software knowledge, system-level thinking
Technologies
INCA, MATLAB, Python, SQL, NoSQL, EATB
Responsibilities
Define methodology to structure and label data analysis results; Perform root-cause analysis of availability and robustness issues; Develop KPI-based metrics and data-driven validation criteria; Build a data-driven decision framework to classify safety requirements; Analyze large datasets to identify hidden patterns and critical safety-relevant scenarios; Design a scalable data storage concept.
Seniority
Intern