27 building-physics-"https:"-"https:"-"https:"-"https:" PhD positions at Aalborg University
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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The Department of the Built Environment (BUILD) at Aalborg University invites applications for one PhD position within the field of environmental sustainability assessment of the built environment
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Your day-to-day research will move between theory, modelling and real systems. You will build mathematical and physics-based models of complex thermal systems. You will develop reduced order
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can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can
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. This creates a mismatch with educational approaches such as Problem- and Project-Based Learning (PBL), where learning emerges through dialogue, negotiation, shared inquiry, and collective knowledge building. As
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. This creates a mismatch with educational approaches such as Problem- and Project-Based Learning (PBL), where learning emerges through dialogue, negotiation, shared inquiry, and collective knowledge building. As
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feedback technologies to help build a closed-loop, adaptive human-robot teaming system for the factories of the future. You should have a strong willingness to learn, enjoy tackling challenging research
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spanning three scales: individual components, building-level systems, and urban district networks. The framework will integrate complementary approaches: 1) Physics-informed and data-driven AI methods
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of Power-to-X processes for renewable fuel production. The project is primarily rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will
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part of the AI:X initiative at Aalborg University, to work at the intersection of AI, security, and embedded systems, contributing to next-generation trustworthy hardware platforms for cyber-physical