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14th April 2025 Languages English English English The Department of Electric Energy has a vacancy for a PhD in Development of Probabilistic Reliability Criteria in Distribution Grids Apply
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. Wettability and capillary forces depend non-linearly on mineral surface chemistry, brine composition, and the distribution of ions and impurities in the interfacial region. Because these interactions arise from
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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fuel cells with the vessel’s onboard DC distribution grid (1-1.5 kV or even MV) require power electronics, which enable power and voltage control. Designing high-efficiency and low-footprint power
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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relevant background in algorithms and/or database systems with a research-oriented master’s thesis. Good programming skills. Good written and oral English language skills. Your education must correspond to a
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is 3 years, with the possibility of a fourth year, consisting of 25 % career-promoting work (e.g. teaching responsibilities at the department) distributed over the employment period. The fourth year is
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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variables need to be connected to variables that are observable in the laboratory. Of special interest is the information entropy that characterizes the flow distribution, velocity distribution and the
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techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications