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on modelling and controlling electrified industrial thermal systems under real-world conditions. The work is embedded in a collaborative research project with industrial partners, providing access to realistic
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will also examine the coordinated operation and control of Power-to-X processes, electrolysers and energy-storage systems in interaction with the electrical grid. You will contribute to research on grid
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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optimization, techno-economic assessment and model validation. The research will also examine the coordinated operation and control of Power-to-X processes, electrolysers and energy-storage systems in
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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) Strong knowledge of classical and modern control theory Experience in designing control strategies for energy-efficient fluid power systems Experience with modelling and control of hydraulic displacement
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source
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academic maturity and the ability to collaborate within their field of expertise. Engagement in research environments beyond the host institution is encouraged, for example through shorter or longer research
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power take-off under realistic environmental and operational conditions. A key objective of the project is the development of probabilistic and physics-informed models to quantify uncertainties related