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Field
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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/filmmakers… The recruited postdoctoral researcher will be expected to contribute to the programming of these seminars, to their animation, and to the documentation (including through parallel interviews
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation research and use of established frameworks, particularly PRISM and/or RE-AIM
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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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electronic conversion, energy and 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
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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size and complexity, there is an increasing need for computationally efficient predictive tools capable of resolving the underlying physical and chemical processes across multiple scales. The project