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Environments within the general study programme Electrical and Electronic Engineering; as per September 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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research is co-supervised in close collaboration with Prof. Qi Zhang, offering a unique interdisciplinary research environment at the intersection of Foundation Models and Edge Intelligence. Research Vision
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
part of an ambitious and highly interdisciplinary research environment at DTU Construct, collaborating closely with researchers at DTU Bioengineering and internationally with TU Delft, while benefiting
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
research environment at DTU Construct, collaborating closely with researchers at DTU Bioengineering and internationally with TU Delft, while benefiting from access to state-of-the-art facilities
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related to the EU and National Directives. You will be a part of the marine ecology group that covers research and advisory tasks across the marine environment mainly related to Danish and Arctic waters
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the semester. The Department of Mathematics, the city of Aarhus as well as Denmark can offer the successful candidate: A positive and international work environment with a flat hierarchy. A competitive salary
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learning from demonstrations and generalisation to unfamiliar tasks, objects or environments. World models and planning Develop models that predict how the physical world responds to actions, supporting
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will