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Field
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Modeling and Geospatial Analysis. Two (2) years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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requirements: You should be enthusiastic and self-motivated with a first-class/high 2:1 degree in a relevant engineering or physical science discipline (e.g., geophysics, earth science, geospatial
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, as well as the development and application of advanced urban data science and geospatial information technologies to support this primary aim. For this project, we envision a strong collaboration with
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an advantage Specific Requirements University studies in Computer Science or Computer Engineering (Bachelor’s and Master’s degrees) Basic knowledge of geospatial technologies Basic knowledge of big
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partnership with an ongoing digitization project of Collectie Overrijsel. The data will be qualitatively and quantitatively analysed by means of annotation and geospatial tools. The PhD project contributes
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degradation of the system performance in mobile scenarios. To experimentally exploit drone-hosted mobile cells for 6G networks. DC5: Anomaly analytics in geospatial spectrum data Host: XYZT, Belgium Main
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an interdisciplinary and multicultural research environment. strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of hydro(geo)logical systems. proven programming
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sensing or geospatial tools (e.g., QGIS). Previous experience publishing papers (e.g. from MSc/MRes/MEng projects). Interest or experience in ecology, biodiversity, or environmental monitoring How to Apply
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in partnership with an ongoing digitization project of Collectie Overrijsel. The data will be qualitatively and quantitatively analysed by means of annotation and geospatial tools. The PhD project