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architectural design explorations and the implementation of software development platforms. The goal of this PhD is to create a modular and extensible simulation infrastructure that facilitates design
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter
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PhD candidate who will contribute to Work Package 3 of the Add-reAM project, a large NWO-funded interdisciplinary programme: Universities: TU Delft, UTwente, TU Eindhoven, Erasmus University Rotterdam
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transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures such as neural operators and transformers. The expected start
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and fundamental areas. The candidate will develop transferable skills such as HPC software development, extensive physical understanding of turbulent flows, and experience in modern ML architectures
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Job description We are looking for an excellent and motivated PhD candidate to join the Microelectronics Department at TU Delft, focusing on the design of innovative power management integrated
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group, at TU Delft to pioneer self-organizing edge infrastructure that will define the next generation of Internet architecture. This PhD position offers you the opportunity to shape the future
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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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