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positioned in the Esbjerg Energy Section. Research areas will focus on AI-driven control systems, grid-forming inverter technologies, and intelligent energy storage integration using second-life EV batteries
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are a team of appr. 60 researchers and engineers specialized in robot solutions involving modelling, estimation, and control of advanced robot technologies. The group is involved in a variety of national
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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for Mathematics here and about the Algebra group at DTU and the corresponding research at the Algebra group webpage https://algebra.compute.dtu.dk/ . If you are applying from abroad, you may find useful
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of the following topics will be appreciated, but mostly we look for smart people who enjoy learning new things: Approximate Bayesian inference Differential geometry Numerical computations (ideally with experience in
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network of academic and industrial partners. We are a team specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be
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: https://ece.au.dk What we offer The Department of Electrical and Computer Engineering offers: An exciting opportunity to work on cutting-edge research in IoT systems and critical infrastructure monitoring
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on experiments and enhance the accuracy of property and phase equilibrium estimations. In this project, we aim to advance the COSMO-based thermodynamic models to accurately predict the phase equilibria and key