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PhD studentship on developing a living lab digital twin to integrate catchment models and climate adaptation measures for catchment management in Ireland. This PhD is part of a larger interdisciplinary
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or professional experience in the field of soil indicators development, soil health assessments, soil monitoring and modelling. The experience should be proven and cover at least 1 year of activity. • Extensive
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component: - Undertake advanced training in qualitative, quantitative, participatory and geospatial research methods. - Participate in seminars, scientific meetings and training activities organised by
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at the time of appointment; Research experience in agricultural remote sensing, crop and pasture modeling, or agricultural environment monitoring and prediction; Knowledge of remote sensing, geospatial
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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applied to geospatial or geotechnical data, including model training, validation, and uncertainty quantification. Proficiency in programming languages such as Python, with experience in scientific computing
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience