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an advantage if you bring one or more of the following: Experience with Explainable AI. Experience with Deep Learning. An interdisciplinary background / interdisciplinary training. Have followed
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of the following: Experience with Explainable AI. Experience with Deep Learning. An interdisciplinary background / interdisciplinary training. Have followed courses in Psychology or Philosophy
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, Planetary Health & Environment, and Climate & Life. The department hosts a highly international tenured staff of over 50 scientists and more than 110 PhD students and postdoctoral researchers. We house or
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microscopy techniques. Working closely with a postdoctoral researcher to use your experimental observations as constraints for micromagnetic simulations, systematically assessing how size, shape, and
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. This position offers unique opportunities for your growth and development. During your PhD, you will gain deep expertise in Generative AI, specification engineering, and empirical software analysis. You will also
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on behavioral lab experiments but may also include other empirical approaches depending on how the project develops. During the PhD, you will: Learn how to combine theory-driven empirical sociology with
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computational lens. This calls for strong expertise in computational methods, machine learning, and data modelling combined with solid knowledge of music. We particularly aim to cover a broad range of musical
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generate new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how
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colleague who: holds a Master’s degree in mathematics or computer science; has a solid foundation in category theory; is familiar with dependent type theory; is enthusiastic about learning advanced category
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Social Science, or related field; has strong affinity with the study of families and economic inequality; has experience with both quantitative and qualitative research (or is motivated to learn both types