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PhD Scholarship in Generative Artificial Intelligence Job No.: 686325 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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following its curriculum. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
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methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning. • Research work
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area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports
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Your job Are you a highly motivated Geospatial Artificial Intelligence (GeoAI) researcher with a passion for environmental applications? Are you experienced in developing research lines by seeking
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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research group focusing on the societal and governance implications of Artificial Intelligence. The lab has strong expertise in AI, simulations, and responsible technology design. The Department
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, geography, spatial remote sensing, and artificial intelligence. In this project, urban space is considered as an interconnected system with multi-scalar spatial and temporal dimensions that should be studied
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"intrinsically-aligned" artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the "best" AI model. Requirements: The essential selection criteria include
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/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting