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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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comparative case study research (Yin 2017) as primary research methodology, enriched with elements of design thinking (Brown 2008) and action design research (Sein et al. 2011). This ambitious PhD research
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only innovative public strategy but also regulatory framework. A robust, coherent, and forward-looking regulatory framework is fundamental to enabling sustainable activities (e.g., offshore wind
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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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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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for the BWRX-300 scenario. Comparative LCA modeling. The candidate will build and analyze LCA models in GaBi, openLCA, Activity Brows- er, Brightway or similar software, covering low-, intermediate-, and high
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partners, who will provide sectoral expertise and share information about company activities in waste management. Estonian stakeholders in- clude VKG Viru Keemia Grupp, Ragn-Sells, Green Marine, the Estonian
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-ranking journals and confer- ences. Research activities will leverage both simulations and experimental work with robotic vehicle platforms. To achieve this, the candidate is expected to have strong
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addition to their PhD research, they will be expected to contribute to various teaching, administrative, and capacity-building activities within the SustainERA project, which will account for 20% of their workload
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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