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Field
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
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of programming, maybe even machine learning and artificial intelligence Prior knowledge of machine learning is not required, but considered an asset You have an independent and responsible way of working
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out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2026. The studentships will have a duration of 42 months, with an annual stipend
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Master's degree in Computer Science or Artificial Intelligence. Candidates must have advanced theoretical and programming skills, be proficient in oral and written English, possess great communication and
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of ‘engineering net zero’, and ‘artificial intelligence’. This vision is located within RCA’s strategic research priorities of Climate Crisis and the Circular Economy, and Design & AI, as well as the priority
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at the interface of probability theory and artificial intelligence, whose goal is to rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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. Responsibilities and qualifications Your overall focus will be to strengthen the department’s vision and expertise in artificial intelligence for autonomous systems, contributing to the development of intelligent
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high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability