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Aalborg University, Department of Energy, Campus Esbjerg, invites applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization
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, bonding technologies, and multi-layer stack-up integration for glass-based PCB structures. Multi-physics simulation and experimental characterization will be used to analyze thermo-mechanical behaviour
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BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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simulations: Developing a simulation or digital twin environment to test propulsion, control and sensor-integration strategies under repeatable and safe conditions before field deployment. The digital twin will
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successful candidate will contribute to developing new cryptographic network protocols based on quantum resources. A particular focus is given to secure multiparty computation protocols where participants
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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, this project will explore how innovations based on circular practices emerge between companies through ongoing collaboration, coordination, and negotiation across value chains. Building on recent research
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AI-based monitoring and control more resilient. Studying the security and integrity of deployed ML models, so that AI-based decisions stay trustworthy when something goes wrong or is deliberately