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Field
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postdoctoral researchers, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because
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tools for static and dynamic analysis are powerful for detecting vulnerabilities, they suffer from both theoretical and practical limitations. Their results are often plagued by false positives (reporting
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human operators using natural language, scenario simulation, and action explanation. Study the efficiency, robustness, generalization, and ethical implications of using foundation models in safety
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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. Supervisory Controller Synthesis is an engineering approach to automatically derive a supervisory controller for a given discrete-event model that is safe with respect to certain requirements. Yet, the
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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positioned at the University of Twente in Enschede, the Netherlands and get introduced into the PhD trajectory and scientific working. You will alongside the developers of UT’s global crop water model ACEA
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the Department of Biomedical Engineering, you’ll work in a close-knit, multidisciplinary team of PhD candidates, postdocs, and professors committed to open collaboration and scientific excellence. As a PhD
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polarization purity, especially during scanning operations. Conceptual Design and Simulation: Design initial conceptual models of active array antennas with an emphasis on polarization purity. Advanced