12 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Mines-Paris-PSL" PhD positions at Utrecht University
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organizational skills. Experience with using machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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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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, including abstract geospatial workflows; design AI- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute
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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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the project develops. During the PhD, you will: Gain expertise in theory-driven empirical sociology Learn to derive hypotheses from deductive theoretical reasoning through formal methods on sociological
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willingness to learn Dutch. Our offer We offer: a position (1.0 FTE) for 1 year, with an extension to a total of 4 years upon a successful assessment in the first year, and with the specific intent that it
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quantitative research and data analysis, with openness and desire to learn and apply diverse data sources (e.g., lab and survey experiments, surveys, administrative microdata) and methodologies (e.g., multilevel
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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excellent academic record and demonstrate proven enthusiasm for academic research. You are familiar with qualitative research methods (ethnography, in-depth interviewing). Candidates willing to learn