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collaborators several innovative and unconventional collaborations have been and are developed through interdisciplinary co-operations. Thereby, as an employee at the department you will become a part of an
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Be part of the future of creativity support for professionals at Aalborg University! This interdisciplinary project investigates how generative AI can be incorporated into the building design and
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Engineering and the Green Transition in the Built Environment (CEBE). The announced position is part of the CEBE venture, and the successful candidate will participate in the joint effort to achieve this goal
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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the possibility of extension. The expected starting date is August 1, 2026 or soon thereafter. The candidate will be part of the Section Distributed, Embedded and Distributed Systems, and the research group Quantum
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and high-performance computing resources. The position is part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
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resources. The position is part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration with Danish and international
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
at PhD level. Who we are You will be part of the Research Group for Building Physics at BUILD, Aalborg University. The research group focuses on ensuring correct construction techniques for both new
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, classifying, and filtering RF signals in real-time on satellites and drones. The key responsibility of the position is to develop custom measurement platforms from discrete hardware components. The role