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simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work / help our technicians
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developing custom Python-based simulation scripts. TU Delft will support your research with access to the DelftBlue supercomputer for large-scale and intensive modelling. In the second phase, you will work
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
of simulation, optimization, and policy modelling. You will also connect with TU Delft's strong internal network on climate action, particularly through the Climate Action Programme and its Climate Governance
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this field. We are currently looking for researchers with strong energy systems knowledge, electricity, heat, and gas system components and flexibility modelling & simulation, and research software development
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where trustworthiness is essential. Today’s explainability methods often do not provide meaningful decision support and, in some cases, can even leak sensitive training data. Models are especially
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, device modelling/simulation aspects of new tunnelling devices. By using dedicated electrical dc and RF measurement equipment within our measurement & test centre, you will develop and carefully analyse
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proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m or even higher
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-making methods to find effective and efficient integrated planning solutions based on existing tools at Netherlands Railways and newly developed optimization models. Simulation studies will be applied
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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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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Develop machine learning models to detect early signs of abrupt shift towards clean energy technologies and make climate action adaptive to this information. Job description Positive tipping points