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the coordination approaches through autonomous multi-robot surveying of offshore infrastructure in a laboratory environment potentially apply co-simulation and digital-twin frameworks to develop and evaluate multi
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engineering, simulation and industrial application. The position focuses on virtual engineering tools and principles for aseptic production, with particular attention to the very early stages of developing new
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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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insight into ultrafast material dynamics by comparing experiments and simulations • disseminating the scientific results in papers and at conferences Your profile Applicants should hold a PhD in
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competencies and skills are required: Carrying out experiments using the hybrid testing method. Development of multibody dynamic simulation software using modern approaches (e.g., Kane’s method). Implementation
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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