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infer the composition of subsurface oceans, by recognising and characterising icy grains that are originate directly from the ocean, which is an important step until lander missions, for instance such as
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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for tail modeling and statistical inference on rare events that lie outside the range of the available data. We foresee applications of the developed methodology in several fields, but within this project we
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plus if you additionally have experience with robotics, physics engines or simulators, causal inference, or biomedical / scientific data — and any track record of research output (thesis, preprints, open