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‘human in the loop’ paradigm, and investigate the implications of automation at scale in human-AI teams. This PhD is part of the NWO-funded AI-COMPASS project. In human-AI-teams, tasks are conventionally
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Design human-centred AI for effective information sharing in crisis management A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential
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In this PhD project we will develop novel mathematical cognitive models that represent social and cognitive interactions of humans, as well as novel control architectures (based on model-based
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such as vehicle cabins present a lot of clutter and multipath masking the signature of the person or people to observe; and 2) the human body is a rather complicated object to observe with radar, as we want
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adapt to the patient. You will thus pave the way to next-generation small- to large-scale neuromorphic architectures inspired by the human neocortex, targeting low-footprint adaptive devices such as
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impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! From chip to ship. From machine to human being. From idea
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. Good theoretic understanding of the fundamentals of Machine Learning. Ability to act independently as well as to collaborate effectively with members of a larger interdisciplinary team, take initiative
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networks to reduce the impact of network failures or epidemics; prevent viral epidemics in human population. Epidemic processes widely apply to biological and computer network viruses, to cascading failures
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machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses
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to computational cardiology. In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust