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, IceCube Neutrino Observatory, KATRIN and XLZD, as well as the German Tier-1 grid computing center GridKa (see also www.kseta.kit.edu ). The doctoral school provides an attractive research environment
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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simulations for plume-in-grid models Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase
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