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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through
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, signal processing, calibration, error characterization, and constellation level data integration. Profile: The ideal candidate has • MSc degree in Geodesy, Remote Sensing, Civil Engineering, Physics
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volatility. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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bioelectrochemistry, a process utilizing electrochemistry to drive redox reactions catalyzed by enzymes. This technology has a large potential ranging from health (biosensors, biofuel cells) to “power-to-X
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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to contribute to the groups ongoing work on integrating environmental issues into macroeconomic models with the purpose of providing an assessment of the financial stability and physical risks given
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theory. The PhD fellow will join the Human Augmentation and Collaboration (HAC) group and the Physical and Embodied Interaction (PEI) group. The HAC group designs and evaluates interactive systems
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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environment with new knowledge on moisture transfer and storage process in biobased porous materials? These materials are essential for the green transition but vulnerable to moisture loads. To address