[4-6 months; 4-5 days/week] Name of Project: AI-Supported NTS (Networking Test Suite) Automation & Analysis Objectives: Chance to bridge the gap between market insights and technical excellence in the luxury automotive industry. Main Tasks: -Develop AI/ML-powered tools to automate execution, monitoring, and result analysis of AKKA NTS tests -Reduce manual effort in interpreting NTS test reports by building intelligent parsing and classification models -Enable early detection of networking integration issues through AI-driven pattern recognition -Support the transition from physical ECU testing to virtualized NTS testing with intelligent test orchestration Learning Opportunities: -Experience in automotive ECU networking protocols and OEM-level conformance testing methodologies -Apply AI/ML techniques to real-world automotive engineering challenges with immediate business impact -Work with industry-leading tools: AKKA NTS, Vector CANoe, SIL Kit, QEMU virtualization for ECU simulation -Understand the V-model development lifecycle in automotive software Key Qualifications: -Proficiency in Python programming -Understanding of machine learning concepts (classification, NLP, data processing); -Familiarity with data analysis libraries (pandas, scikit-learn); -Knowledge of automotive networking protocols (Ethernet, CAN, LIN, SOME/IP) -Experience with test automation frameworks; familiarity with XML/HTML parsing -Experience with visualization tools (e.g., Grafana, Plotly, or similar) Language: Chinese: Proficient English: Conversational Education: Degree: Master or above Major: CS, EE, Automotive Engineering, AI/ML