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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
Do you want to launch your scientific career by developing the next generation of living building materials for sustainable construction? Join DTU Construct as PhD candidate and contribute
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The Department of the Built Environment (BUILD) at Aalborg University invites applications for one PhD position within the field of environmental sustainability assessment of the built environment
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
8 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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6 Aug 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Construct Research Field Engineering » Civil engineering Engineering » Mechanical engineering
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree
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Help build the systems that will electrify industry Industrial energy systems are about to change fundamentally. For more than a century, industrial processes have been designed as isolated
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. This creates a mismatch with educational approaches such as Problem- and Project-Based Learning (PBL), where learning emerges through dialogue, negotiation, shared inquiry, and collective knowledge building. As
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. This creates a mismatch with educational approaches such as Problem- and Project-Based Learning (PBL), where learning emerges through dialogue, negotiation, shared inquiry, and collective knowledge building. As
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can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can