34 web-programmer-developer "https:" "https:" "https:" research jobs at Aalborg University in Denmark
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funded by the Innovation Fund Denmark under the Grand Solution program. Who are we AAU Energy is a dynamic and internationally oriented research department at Aalborg University, dedicated to developing
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
existing materials as well as new products, covering both new buildings and renovation. Focusing on developing robust solutions that enhance the sustainability of construction, including increased use
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and is available from 1 May 2026 or as soon as possible thereafter. You will join the Section for Electric Power Systems and Microgrids at the Department of Energy and contribute to developing future
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employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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Copenhagen. We have more than 250 employees and approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation