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Job Description DTU Chemical Engineering is seeking a highly motivated PhD student to work on pilot-scale CO2 capture, CO2 quality assessment, and development of innovative solvent systems
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by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
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engineering and project management is advantageous Strong analytical and technical problem-solving skills, with a solid foundation in computational engineering Ability to work independently and take initiative
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charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students working collaboratively
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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integration of pit thermal energy storage in thermal grids Collaboration with KTH Royal Institute of Technology on building-integrated thermal energy storage Work as an assistant teacher in relevant courses
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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Mechanical Engineering Department. Co-supervision of BSc and MSc projects that are complementary of this PhD project. As the job descriptions cannot be exhaustive, the Researcher may be required to undertake
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve