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with factual accuracy, complex reasoning, and the nuanced social dynamics of harmful content. This PhD project aims to overcome these hurdles by developing knowledge-enhanced neural generation frameworks
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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the next generation of vision-at-the-edge. Required/Preferred Candidate Skills and Competencies: – Background in analog/digital electronics, or IC design; – knowledge of image sensor architectures
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation