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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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the content we engage with, the products we purchase, and our social interactions. These systems, driven by machine learning, support a wide range of human decision-making processes across e-commerce, social
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. The successful applicants will develop automated techniques to analyse multi-sensor data (video, acceleration, audio, etc) of human social behavior. Successful candidates will work in a team of 6 on
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, engineering, mathematics or related areas. The MSc degree should have been awarded by the start of the PhD project. A solid background in fluid dynamics, as evidenced by academic courses as well as research
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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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that might (or not) act as a coordinated swarm, which is a very timely problem for safety of public spaces and national assets such as airports or stadiums, not just in conflict scenarios but also for every
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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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computer science, data science, or another relevant subject, with practical machine learning/artificial intelligence courses and relevant project and thesis experience. You have a keen interest in human-AI
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, we are looking for two PhD researchers to work on novel methods for verifying when AI adaptation is necessary, and for resolving violations in a human-interpretable way. You will conduct both
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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