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design and implement scalable methodologies to systematically stress-test, audit, and benchmark AI models against your established criteria. This includes exploring red-teaming methods, synthetic data
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safety assessment of innovative reactor concepts. Your simulations will be validated using experimental data generated by a closely connected PhD project. Job description TU Delft participates in a
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The exponential growth of computing capabilities has transformed nearly every aspect of modern society. Continuous advances in classical computer hardware architecture and semiconductor technology
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candidates within the Greenhouse in Transition program, sharing data and research findings and participating in regular project and consortium meetings； dissseminate research findings through peer-reviewed
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, making workflows for validation, and contributing to developing AI-driven tools that integrate performance evaluations, processing windows, and circularity-related data.
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. Within this project, you will generate experimental data that support reactor safety assessment and model validation. As a PhD candidate, you will investigate passive heat removal and reactor behavior
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Are you fascinated by how people understand, navigate, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer
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potential cause of coating irregularities (waviness) and rejection of the final product. In this project, we will apply combined experimental, theoretical, and computer simulation studies to bring detailed
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. Job requirements MSc degree in Hydrology, Environmental Engineering, Civil Engineering or a related field Excellent computer programming and GIS skills Proficiency in written and spoken English (Dutch
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, such as ptychography, in which we reconstruct object images from measured diffraction data. We produce coherent EUV radiation using a process called high-harmonic generation (HHG), which is an extremely