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%). The PhD project is integrated within a larger interdisciplinary project BIOSPACE . The doctoral student will combine remote sensing, artificial intelligence, and analyses of empirical ecological datasets
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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remotely when appropriate and approved by your manager. This is a one-year Temporary Position About Body Confident Sport: Sport can be a powerful force in a girl’s life. Yet, around the world, 45% of teenage
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of Sentinel-2 fluvial scenes’. Earth Surf. Process. Landforms, 45, 3120–3140. Carbonneau et al 2020) ‘Adopting deep learning methods for airborne RGB fluvial scene classification’. Remote Sensing of Environment
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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sensing and ecology. The successful candidate should have: Required: A PhD degree with a publication record in peer-reviewed international journals Experience with remote sensing, LiDAR, or GIS applications
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hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and
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methods to NIR spectrum analysis; experience in the use of satellite data and remote sensing tools in the assessment of vegetation condition (e.g. calculation of the NDVI index
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Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision
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applied remote sensing and geospatial modelling can inform agricultural water resources planning for flood and drought risk management, and (iv) what tools can support better water resources planning