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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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firn- and hydrology modelling. Your work will contribute observations that are essential for evaluating firn- and hydrological models and for understanding ice-sheet-wide change. Your results will be
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on the solid application of scientific research method. The department has a pluralistic approach to research methods that includes, for example, formal theoretical models, quantitative empirical methods such as
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characterization, monitoring, modeling and management of the freshwater cycle and substance transport in Danish and international contexts. Within current issues, the department contributes with research, advice and
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architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status. You will be
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loading, wave–current environments (e.g., wave kinematics, high-order wave theories), and vortex-induced vibration would be highly regarded. Familiarity with contact modelling and structural degradation
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their skills and experience. Current priority areas for A&A are: State preparation techniques Schemes for extracting information and observables from quantum computation Noise modelling of logical quantum
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and contribute to solutions for increased public health and implementation of new health knowledge and technologies. Currently, our department has approximately 280 employees, 100 Ph.D.-students
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https