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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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solid understanding of electromagnetic theory, microwave principles, and computational electromagnetics. You are comfortable working with full-wave simulation techniques such as finite-difference time
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. Contacts Professor Jakob Stoustrup: [email protected] Associate Professor Kirsten Mølgaard Nielsen: [email protected] HR Support : [email protected]
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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researchers, associate professors and professors) sharing your primary research interest. This gives ample opportunity for sparring and deep discussions.We strive to foster a friendly and supportive working