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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared
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-hydrogeological-sy… Requirements Specific Requirements For this position, we are looking for enthusiastic candidates with a background in Earth Sciences, hydro(geo)logy or physical geography or related field
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at conferences Your qualities For this position, we are looking for enthusiastic candidates with a background in Earth Sciences, hydro(geo)logy or physical geography or related field, preferably with a proven
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, the position holder will be required to perform the following tasks: Contribute to the design and performance evaluation of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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agriculture and water resources. Main tasks to be developed: a) Integrated characterisation of the study region b) Development of a geo-referenced database c) Digital monitoring of agro-hydrological variables d
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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
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types. Publishing your research in peer-reviewed scientific journal papers and presenting your results at conferences. You will work here The research is embedded within the Laboratory of Geo
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biogeochemical cycling, individual PhD projects can involve aspects of (geo-)microbiology, soil science, atmospheric measurement techniques, atmospheric transport models, terrestrial and atmospheric remote sensing