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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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The research programme DeepNL aims to improve the fundamental understanding of the dynamics of the deep subsurface under the influence of human interventions and the resulting effects
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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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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
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Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to