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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational
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the position. Your work 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
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electricity generation, energy prices and wider energy-system conditions. The work will combine process simulation with operational optimization, techno-economic assessment and model validation. The research
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fellowship at AAU Energy, you will work with dynamic modeling, simulation and optimization of Power-to-X processes for renewable fuel production, such as green methanol and sustainable aviation fuel produced
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Technology, and the PhD student will be positioned in the Esbjerg Energy section. The position is part of the internally funded research project SURGE: Speed-optimized USVs for Robust Guidance and Offshore
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Digital Transformation for Education, Work and Professional Practices is open for appointment from December 1st., 2026 or as soon as possible thereafter. The position is a full-time fixed term of 3 years
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, The University of Queensland (UQ), Australia, and Danfoss. You will join a highly interdisciplinary research environment and work closely with leading academic and industrial partners to develop next-generation
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field concerns development of innovative concepts that can enable the use of alternative biomasses for production of healthy, tasty and sustainable food products for the future with particular emphasis
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challenge in this aging era, undermining the functionality, safety and longevity of critical steel infrastructure. There is an urgent need to advance monitoring, diagnosis and prognosis methods that can
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions