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will focus on: Modelling the statistics of induced seismicity. Modelling the spatial distribution of seismicity. Benzi, R., Kumar, P., Toschi, F., & Trampert, J. (2016). Earthquake statistics and plastic
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work in a consortium consisting of university groups with complementary skills in fluid dynamics and statistical physics (Fluids and Flows, TU/e) and machine-learning techniques (AMLab, UvA), and
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statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be self-propelling and drive your own research. Ability to work in an interdisciplinary
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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing
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of reverberation chambers. This is why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly
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. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be
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why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly underpinned by a