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- University of Amsterdam (UvA); Published 28 Nov ’25
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participation on broader society Collaborate with citizen collective networks like LaNSCO Publish findings in academic journals and create practitioner-friendly outputs What we offer A four-year, fully funded PhD
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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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. Investing in the prevention of wear particles generation is a way to tackle this issue directly at the source, which is particularly relevant for wafer handling. Silicon is a very complex material, undergoing
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typically rely on general-purpose CPUs or GPUs, which are optimized for flexibility rather than predictable real-time performance. These platforms struggle with the complexity and resource demands
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complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse, vibrant and
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX) made possible thanks to the European Research Council. Join our ERC SPHINX Team to elicit how people and businesses
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and wars, resulting in ecological disjunction and disembodied resource governance and heightened political tension among communities and states. The aim is not only to unpack the complexities behind
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, such as physics-informed neural networks (PINNs), and apply them to regenerative processes. Collaborative by nature – You enjoy working across disciplines and feel at ease in an international
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mixed method approach is crucial, meaning that both quantitative and qualitative research methods will be used; Leading and collaborating in project teams of varying size and complexity, from small WUR