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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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environment aligns with the Estonian smart specialization growth area “ICT horizontally through other sectors.” Specific aim and scientific approach The aim is to enable PEB and PED through innovative
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endorsed by industrial partners in Estonia and Hungary. Research field: Information and communication technology Offered by: School of Information Technologies. Thomas Johann Seebeck Department
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collaborative multimodal perception system. This system integrates data from various sources, such as cameras, LiDAR, radar, and V2X communication, to create a comprehensive understanding of the vehicle's
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and in-field operation. The project will investigate co-simulation and multi-domain integration methods, linking ECU DTs with vehicle dynamics, powertrain, and in-vehicle communication networks
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initiatives (incl. Singapore and Barcelona). Research field: Information and communication technology Offered by: School of Information Technologies. Department of Software Science Description Supervisor
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willingness to provide assistance in organizational tasks relevant to the project. B2 English level certificate if English is not native language and language of instruction in MSc study was not English; (The
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, complemented by quantitative LCA analysis. The outcome will be a decision support system (DSS) and methodology guidelines that support policy makers, industry, and vulnerable communities in making evidence‐based
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data analysis Excellent written and spoken English communication skills The candidate MUST submit A cover letter expressing motivation to start the Ph.D. in this topic Curriculum Vitae, incl. details
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to work independently Excellent communication skills (written and spoken) in English A clear interest in the topic of the position Strong and demonstrable writing and analytical skills Capacity to work both