24 atmospheric-simulation-and-modeling PhD positions at Delft University of Technology (TU Delft) in Netherlands
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of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination with high-performance computing (HPC), parallel
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photovoltaics (PV) was identified by the IPCC as the technology with the highest potential among emission mitigation options. Scientific studies modelling energies scenarios for net zero emissions by 2050 project
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diagnosis methodologies that meet these challenges head-on. You will dive into areas such as: AMS fault modeling. AMS test stimuli and detection generation. Automatic AMS test pattern generation and
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. Leveraging large language and multimodal models, the research will focus on developing AI technologies to generate informative, concise, and personalized descriptions that enhance accessibility across various
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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communicate research results through excellent written and oral communication skills in English? Then do not hesitate to apply! Experience with reservoir simulation, heterogeneous heat storage modelling, energy
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transduction could enable a new class of transistor circuits as well as novel sensor and transducers. Your PhD project will focus on both the fundamental physics of these devices with modelling, fabrication, and
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to establish a roadmap, (2) developing models and benchmarks for LLM-based refactoring, (3) designing autonomous agents, and (4) conducting studies to analyse real-world impact. We are committed to creating a
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8 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Design
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds