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effects (EM problem). The novel idea in DoAnt is to develop an EM-driven optimization framework for sparse radar sensor arrays integrated with DoA estimation. With its interdisciplinary nature, DoAnt aims
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to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission
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PhD candidate who is going to be involved in a Horizon Europe project entitled ‘ZEBAI’. ZEBAI is an ambitious integrative project in which a broad range of interdisciplinary teams collaborate to develop
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vision methods for multiple cameras, possibly extended to combinations with other sensors, such as radar or microphones. In addition, you will develop and test machine learning algorithms that can track
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response to disruptions is volatile. You will develop algorithms to identify and prioritise the uncertainties in networks, assess the risks of interventions, and predict the actors’ response to disruptions
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level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details