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This interdisciplinary PhD project examines the responsible and ethical integration of artificial intelligence (AI) in the design and delivery of complex, high-contact service systems, including education, healthcare, and
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scenarios. Designing validation metrics for coverage, criticality, and novelty. Integrating LLM-based testing into simulation platforms (CARLA, SVL) and open-source stacks (Autoware). Applying validation
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new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
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Programming in C++ and python Experience with ROS, Autoware and Matlab/Simulink recommended Experience in designing software systems General overview and understanding of working principles of sensors and
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record material composition and reuse quality in digital passports and to link those records with life cycle assessment (LCA) tools. This project invites candidates to co‐design intuitive spreadsheet