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of Technology (TU Delft) is hiring a doctoral candidate (4 years) on the subject of “statistical surrogate models of flexible energy systems”. Numerical models are at the core of the successful operation of
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"with memory" are of importance in several disciplines, such as for financial and statistical modelling. However, due to the correlation structure their computational simulation is very challenging
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) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a particular system responds to a stimulus, and how this stimulus is processed
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challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed control and online decision making. These distributed systems will have to fuse
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Explore and develop scalable machine learning methods for aerospace structures' design and manufacturing This postdoctoral research aims at exploring statistical methods that enable the data-driven
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regeneration methods. Explore laboratory data using statistics and adsorption models to understand underlying trends, explore adsorption mechanisms and predict performance. Investigate sorbent fouling and
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of this position is the theoretical foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal
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Do you posess expertise in statistical methods and techniques, sociology, mathematics, or the social sciences, coupled with a keen interest in digital technologies and human rights? The Faculty
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, Statistics/Mathematics, Data Science, International Development, or a related field (essential). Experience working with large datasets, models and (geospatial) programming skills (e.g. preferably Python or R
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the IVORY doctoral network, this PhD position aims to disentangle the strengths and weaknesses of two types of analytical methods in road safety research i.e. statistical and econometric methods and machine