Data Science William & Mary in United States

Fully funded postdoc opportunity in remote sensing and land degradation at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO) in Halle (Saale), Germany . The position is part of the TransMoP Project and is aimed at researchers with a strong background in Geography , Geoinformatics , Environmental Science , Land-System Science , Geoecology , or a closely related field. The post emphasizes expertise in remote sensing , spatial analysis , and analysis of Earth-observat...

Fully funded PhD position in biologically grounded AI, remote sensing and environmental intelligence at the University of Texas at Austin, in the Dao ReSEIL Lab within the Department of Integrative Biology. The doctoral thesis will develop biologically grounded artificial intelligence and foundation models that integrate multimodal spectral data to reveal plant responses to environmental stress across scales. The project combines computer science, biology, remote sensing, data science and enviro...

Fully funded PhD positions are available at the University of Florida in the area of GeoAI and Earth System Science , with a focus on carbon-water ecosystem services . The positions are associated with the Ecosystem Service and Geospatial AI Lab and the Landscape Ecology and Sustainability Science Lab at UF/IFAS . This opportunity is well suited to students interested in geospatial analysis, environmental modeling, ecosystem services, and data-driven approaches to landscape and Earth system ques...

PhD position in Forest Science and Remote Sensing starting Spring 2027 at Michigan Technological University in Houghton, Michigan, USA, within the College of Forest Resources and Environmental Science and in collaboration with the USDA Northern Research Station . This opportunity is centered on forest science , remote sensing , natural resources , ecology , and spatial/data analysis. The post highlights strong remote sensing skills, publication experience, and desirable programming skills in R a...

DARE is hiring a Postdoctoral Associate in Machine Learning and Remote Sensing to contribute to global-scale mapping of critical water infrastructure. The position is part of the Dynamic Atlas of Riverine Ecosystems and Infrastructure (DARE) project. The postdoctoral researcher will work on applying machine learning, remote sensing, and geospatial data analysis to understand and map water infrastructure at a global scale, with connections to hydrology and riverine ecosystems. The researcher will...