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to a two-year master's degree in a field related to one or more of the general areas of Computer Science, Computer Engineering, Telecommunication, Electronics. Approval and Enrolment The scholarship
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, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
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, or multi-robot coordination is highly valued. Familiarity with SLAM algorithms (vision or acoustic-based) and state estimation techniques will be an advantage. Mathematical skills: Competence in mathematical
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leverage the broad technical research and to support the long-term vision of AID being a world-class centre in the field of artificial intelligence and machine learning addressing the challenges of the most
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internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following