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project. Aalborg University applies a problem-based learning (PBL) approach. Documented experience with PBL (such as project supervision, facilitation of group processes, and development of PBL-based
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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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o calibration and/or data assimilation o satellite geodetic and/or Earth Observation (EO) data processing o meteorological/hydrological data processing and analysis Strong interest in collaborative
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
: Designing and conducting interdisciplinary experiments on fungal-bacterial co-cultivation systems Developing 3D-printable bio-ink for sustainable construction applications Generating, processing, and
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candidate and a postdoctoral researcher. The candidate’s workplace will be in Aalborg. As part of this project, you will investigate the impact of generative AI on creative processes and design novel ways
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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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project. An important aspect of the PhD will be to integrate different proxy records to reconstruct past change and understand the processes linking ocean circulation, climate, sea ice and marine ecosystems
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influences ice dynamics and ultimately the rate of mass loss from the ice sheet. The position is part of the ERC-funded FirnMelt project: Meltwater runoff and retention in Greenland's firn: a process-based
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Autonomous Building Operation. By monitoring actual buildings, understanding their dynamic behavior through high-resolution real-life data and sophisticated thermal system modeling, you will develop actionable