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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 19 days ago
or Geoinformatics, or related areas. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application in environmental
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integration of multi-source datasets; Familiarity with GIS, spatial data management, and basic remote sensing workflows; Experience in writing scientific papers and working within multidisciplinary research
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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of remote sensing imagery. Proficiency with GIS methods, applications, and visualization. Prior experience engaging with stakeholders and application of participatory methodologies. Background Investigation
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: 19.12.2025 EXPIRES: 28.01.2026 WEBSITE www.igf.edu.pl KEYWORDS: Geophysics, physics, Earth and Environmental Sciences, environmental hydraulics; field research; riverine vegetation; remote sensing; UAV/drones
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, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
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/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
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. Demonstrated proficiency in GIS, remote sensing, spatial analysis, or other applied geographic techniques. Preferred: PhD degree in Geography, Geosciences, Computer Science, Environmental Science, or a closely
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technology to track species across habitats and (iv) undertake extensive data mining from local and national databases and from partners (e.g., NatureScot, RSPB). GIS, remote sensing data and NVC habitat