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robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering
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, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in applying this skillset to the analysis of music data. The place
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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and Society, and the Vector Institute for Artificial Intelligence. Eligibility: Qualified candidates with a PhD in mathematics, statistics, physics, computer science or neuroscience are encouraged
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: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
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reproducible research, collaboration, and knowledge sharing. You should meet the following qualifications: A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely
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as well as planning and supervising of exams (especially in labs and practicals) in the field of Artificial Intelligence both at Bachelor and Master level to the extent of 16 hours per week per
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: Experience in microwave measurements Experience in Artificial Intelligence and Machine Learning methods for microwave circuit design Experience in digital signal processing What you will do Take courses
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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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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