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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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Decision Analysis/Aiding (MCDA). It (i) provides state-of-the-art, adaptable and transparent strategies to formulate, model and support better decision-making, (ii) develops and applies decision support
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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, are studied. The investigations are carried out based on experimental observations and modeling. The research group possesses a well-equipped, state-of-the-art building material laboratory for physical/chemical
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral
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, adaptable and transparent strategies to formulate, model and support better decision-making, (ii) develops and applies decision support tools to tackle sustainability and resilience-related challenges, and