48 project-assistant PhD positions at Delft University of Technology (TU Delft) in Netherlands
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We
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. This NWO-funded project aims to develop new theoretical and experimental frameworks to identify and characterize friction damping in assembled systems, bridging the gap between microscale friction phenomena
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to design mixed fixed-flexible transport networks? Job description The increase of public transport usage has clear potential in transforming our environment to be more liveable, sustainable and convenient
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simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work / help our technicians
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How to design a high speed generator driven by a small
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techniques such as linear/integer programming or by designing suitable heuristics. The algorithms that you develop can play an important role in pathogen surveillance, infection treatment design, and/or
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twins for sustainable ship design and multi-fidelity design space exploration for wind-assisted ships. Job requirements We are seeking an enthusiastic PhD candidate who has affinity in the following areas
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pathways. This research project will develop the process flow model for selected technology configurations, including electrified units, hydrogen-based processes (instead of carbon-based for reduction
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design