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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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variety of Earth surface processes. This aim is pursued through a collaboration between the Department of Sustainability and Planning and Department of Electronic Systems. The topic of this PhD position is
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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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nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
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motivated and curious candidate with a background in computer engineering, embedded systems, or a closely related field. The ideal candidate has an interest in the intersection of artificial intelligence
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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Optimization" and the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. How to apply Your application must include the following: Application, stating reasons for applying and
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great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied
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. These should be an alternative to today’s FR4 and ceramic boards. You will help demonstrate how tailored glass can improve performance during operation while also enabling design-for-disassembly and recycling