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applied testing in real-world autonomous shuttle deployments. Responsibilities and tasks The candidate is expected to: Support laboratory activities to integrate E2E autonomy software and 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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bench, combining the advantages of real-time software models and real equipment, contributes to the reduction of the number of test runs and safe maintenance. Test benches cover many different areas like
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. Modeling the energy consumption of Smart Cities at different granularity levels (entire city, neighbor- hoods, blocks, buildings). Analyzing and performing benchmark tests on data collected by industrial and
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? What are the optimal hardware-software architectures for deploying the above methods, test and validate the model? Applicants should fulfil the following requirements: MSc either in biomedical
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software and experimental validation setups Opportunities for international conference participation, research exchanges, and networking with well-known uni- versities and research centers Active
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techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing
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dominant impact drivers and test robustness to key uncertainties such as waste volumes. Research plan The thesis work is divided into the following steps: Framework development. The candidate will initiate
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. The work includes both theoretical modeling and experimental validation, addressing development of software-defined power electronics, droop control adaptation to weather conditions, integration with
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software features over the creation of new code libraries, making circular economy tools accessible to professionals with lim- ited IT resources. By piloting the framework in urban living labs, the study