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project and validated in offshore conditions. By unifying aerial, surface, and underwater data through intelligent sensor fusion and coordinated control, the system aims to provide improved situational
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driving rapid growth in distributed energy resources (DERs), the electrification of transport, heating, and water systems — and the rise of hyperscale data centers. Coordinating these heterogeneous active
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through shared control, communication protocols, and mission planning, allowing them to function as a coordinated unit. The multi-vehicle platform will be developed by the project partners throughout
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synchronicity, this will require new control strategies, coordination mechanisms between asynchronous modular grids that ensure more reliable and secure operation of power grids – without compromising
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specific binders. This approach directly contributes to streamlining the binder design process to meet real-life challenges effectively. This PhD will focus on driving AI research and coordinating
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teamwork and are good at coordinating your work with your colleagues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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contact the principal supervisor Kristian Strømgaard, e-mail: kristian.stromgaard@sund.ku.dk , phone: +45 3533 6566 or PhD coordinator Marianne W. Jørgensen, e-mail: marianne.joergensen@sund.ku.dk , phone
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interdisciplinary and we expect that you enjoy teamwork and are good at coordinating your work with your colleagues. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
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), please contact PhD coordinator, Associate Professor Niels Skovmand Rasmussen at nsr@sam.sdu.dk. Please note that due to holidays, responses to inquiries cannot be expected in the month of July. Application
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of