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research, and professional service. General Requirements Candidates should have (1) a PhD/Post-doctoral experience in the field of geography, GIS, remote sensing, GeoAI, or a related discipline; (2
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are currently not hiring candidates with core interests in physical geography, civil engineering, and remote sensing; there are far better groups in Vienna focusing on these areas. Clearly able to
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-researcher-geophys… Requirements Specific Requirements A PhD in Geophysics, Applied Geophysics, Earth Sciences, Engineering Geology, Civil Engineering, Remote Sensing, or a related field. Experience with
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: Support with handling, analysis, and processing of ecological data, including geospatial, remote sensing, genetic and other data Retrieval, integration, management, and archiving research data in line
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position in fall/winter 2026. We are currently not hiring candidates with core interests in physical geography, civil engineering, and remote sensing; there are far better groups in Vienna focusing on
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candidates with core interests in physical geography, civil engineering, and remote sensing; there are far better groups in Vienna focusing on these areas. Clearly able to identify and explain the
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of visual materials that support and enhance the verbal presentation. Other Skills/knowledge: Use of GIS and/or remote sensing in teaching and/or research. Desirable: Professional Experience
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: PhD Candidate (f/m/x) in Data Science for
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agronomic field studies, crop modelling and the use of remote sensing and spectral techniques for crop monitoring. The research environment includes expertise in forage production, crop ecology, plant
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and protection of our environment through improved environmental sensing and prediction with remote sensing, AI, environmental genomics, One Health, climate modelling, biodiversity and ecosystem