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project, including the identification of relevant case studies; conducting high-quality empirical research (archival research and cultural analysis); contributing to the development of a theory of the queer
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
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dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. You will receive extensive training in these techniques as part of your PhD project and will work
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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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29 Jan 2026 Job Information Organisation/Company Utrecht University Research Field Geography » Economic geography Geography » Human geography Researcher Profile Recognised Researcher (R2) First
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Application deadline: 31 January 2026 Apply now Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata