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Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and
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, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields. Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale
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publications in peer-reviewed journals and presentations at conferences and workshops. Qualifications: Ph.D. in Remote Sensing, Geoinformatics, Agronomy, or a related field. Strong background in hyperspectral
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. Contribute to the supervision of Master’s and Ph.D students. Qualifications Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related