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and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate these methods under
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December 10, 2026. The positions are hosted within the Natural Language Processing (NLP) research group https://aaunlp.github.io/ at AAU Copenhagen, and postdocs will work under the academic
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tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with academic and industrial
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end of the application period. The ability to conduct independent scientific research Strong methodological competence in qualitative or ethnographic research methods a track record or clear
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end, we are looking for candidates interested in developing new machine learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this
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objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in human-AI interaction. The two PhD positions bring
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, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of complex energy systems
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develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy , people's ability to think independently, in human-AI interaction. You
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support timely physical action. A central objective will be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a
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of the page and the section entitled “PhD Fellow”. There is a mutual probationary period of 3 months for the position. Where to apply Website https://aau.varbi.com/en/what:job/jobID:969158/type:job