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Field
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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in scientific research at the intersection of Earth Sciences, Archaeology, and Prehistory Fieldwork experience in geoscientific and/or archeological research projects Basic knowledge of GIS (ArcGIS and
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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interventions efficiently and maximise benefits. Urban data analytics, AI/Machine Learning, GIS, Spatial Planning 2. Optimisation of Hybrid Infrastructure Systems and Fit-for-Purpose Technologies How can green
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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Benferhat (CRIL) and Carole Delenne (IUSTI). Urban water networks are critical infrastructures whose management relies on a wide variety of data sources: Geographic Information Systems (GIS), Closed-Circuit
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Primary Supervisor - Professor Ian Lake Project Overview Gastrointestinal (GI) infections remain a major public health challenge in the United Kingdom and worldwide. Robust monitoring is essential
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narratives through participatory research methods and stakeholder engagement. Apply spatial modelling tools (e.g., GIS) alongside AI-based techniques to generate risk and vulnerability maps. Analyze and