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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel
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the study of vegetation and land use dynamics from local to global scales. Within the Remote Sensing group, we use a combination of advanced methods and modelling approaches applied to the full range
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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Processes (CLARA). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in
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? As a Postdoc at TU Delft, you will tackle these challenges by developing integrated sensor and readout IC technology for flexible electronic skin, or Smart Skin. You will design, simulate and lay out
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storage, shared mobility, logistics, and neighbourhood services. The postdoc will develop optimization methods for allocating scarce physical space and time slots among these competing functions across
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to lanthanide molecular magnets. While the SFX2C-1e model has been recently used to model core-level spectra, its combination with EOM-CC for molecular magnets has lagged behind. We will link EOM-CC to SFX2C-1e
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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. The second project is “Forecasting Fertility with Foundational Models”. More specific tasks include: Conducting independent high-quality research on the limits of predicting fertility in relation to the PreFer