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The Department of Geosciences and Natural Resource Management invites applications for a 3-year full time postdoctoral position on the development and application of models, to simulate
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in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
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, logistics chains, etc. The research involves extensions to the DTaaS platform with different security principles and defining security policies that supports co-simulations by multiple autonomous actors. A
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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components based on performance, reliability, and cost, and validating designs through simulation and testing. Experience in advanced BMS development, control strategies, and system integration is an advantage
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, electricity prices, and hydrogen demand, considering system efficiency, flexibility, production, and operating costs. Validate and benchmark the developed framework using project data, high-fidelity simulations
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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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be included for completing this subproject within the period of employment. Lastly, the application must include a copy of the applicant’s PhD degree certificate or other documentation confirming
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to advance our understanding of black holes, their environments, and their extragalactic jets.The successful candidate will work with Prof. Chael’s group to advance theoretical models and simulations of black
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical