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dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing methods to estimate, enriched by physics-based information
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, using piezo-electric sensors, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods
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, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing
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to understand. Within the EU Chips Joint Undertaking project Moore4Power, the University of Twente will develop new measurement sensors and methods for evaluating advanced power-electronic devices and converters
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node
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flood risks. In addition, you will develop methods that use AI to produce rapid damage estimates for financial institutions in the event of an impending flood. About FIRM Flood Insurance and Risk
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these enriched datasets to assess the future insurability of flood risks. In addition, you will develop methods that use AI to produce rapid damage estimates for financial institutions in the event of an impending
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD position offers a unique opportunity to work at the intersection