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: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept. Responsibilities and
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during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM stacks operate at approximately 160 °C, offering simplified designs and operational advantages, including improved
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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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on determining vPvM chemicals in both Danish and Norwegian drinking water cases. The PhD scholarship is supported by a DTU Alliance stipend and the Danish Drinking water innovation partnership, InSa-Drikkevand
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
techno-economic evaluation and proven capabilities in the evaluation and modeling of resource recovery and valorization pathways. The role also requires experience in process and supply chain design
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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design methodology to improve system efficiency and power density while ensuring cost effectiveness. Our goal is to create next-generation solutions that tackle key challenges in the industry. We
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and