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advanced manufacturing. This PhD project aims to address that gap. You will develop and optimise routes for converting silicon-rich waste streams into high-purity powders. Using mechanochemical processing
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electrical engineering, computer science or a closely related field. A solid foundation in computer vision, pattern recognition, AI-related techniques. Hands-on interest in designing methods using
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development vision and the ESA Vision 2040. To this end, the Department has defined strategic roadmaps for key technologies aimed at developing key capabilities in line with the strategic vision. To
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, such as food processing, drug production, microchips and solar panels. In this project, a commercialised flow sensor that works with ultrasound is further developed so that other fluid properties, which
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in
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indispensable to modern society. It is used in our homes, in food production, and throughout the chemical and processing industries. However, many industrial water-based processes rely on chemical additives such
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, coordinate data collection at Altrecht Center for Personality Disorders, and analyse longitudinal EMA data collected both during psychotherapy sessions and in daily life. You will collaborate with
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use of satellite data. You will work in a multidisciplinary environment connecting law with Earth Observation, artificial intelligence and computer science. Your duties conduct independent doctoral