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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate
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of the PhD student shall be assessed at regular points in time. Who we are Edge computing and networking are principal enablers of widespread automation that is currently transforming all segments of society
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University of Warwick –Collaborative EPSRC Doctoral Landscape Award. Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend
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for receipt of applications: April 14, 2026 23:59 AoE (15 April 2026, 13:59h Europe/Madrid Time) The Networks Data Science group at IMDEA Networks Institute has an opening for one PhD student in the area of
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-organizing solutions for the efficient management of computing infrastructure based on the Cloud-Edge Continuum (CEC) concept. As 6G networks evolve, managing the complexity of distributed computational
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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. You have strong interest in communication networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical
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and/or abroad. The PhD will be based at the Department of Arctic Biology at UNIS, and the candidate will be admitted to a PhD program at the Norwegian University of Life Sciences (NMBU). The PhD student
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challenges: Data management across the edge cloud continuum means tracking the origin, ownership, and transformations of data: where it comes from (source), where it is stored, who controls access and usage
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supporting physical interpretation of the measured processes. While the primary focus of the PhD is experimental, the student will gain experience working at the interface of experiment and high-fidelity