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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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in the interplay between wireless systems and Artificial Intelligence. Experience with one or more of machine learning, wireless communications, signal processing, multimodal sensing, robotic
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hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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technologies Research Field Computer science » Informatics Computer science » Cybernetics Computer science » Other Engineering » Computer engineering Engineering » Electronic engineering Engineering » Other
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to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting
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. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management, funding, dissemination, and collaboration. We are recruiting several
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candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways of integrating GenAI in professional design
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and Collaboration; Natural Language Processing; Probabilistic and Symbolic AI; Physical and Embodied Interaction; Quantum Systems Analysis and Synthesis; Systems Design & Development Practices; Web