The Ph.D. student will work under the supervision of the PI to help advance comprehension and modeling of evapotranspiration signatures of drought and water stress. This project will involve training in state-of-the-art techniques for satellite data processing and interpretation, big data analysis through machine learning algorithms, drought identification and modeling. The student is expected to relocate in Viterbo, Italy. The scholarship will involve publishing the results of the project in peer-reviewed international journals, presenting at international meetings, and engaging with graduate and undergraduate students, including mentorship opportunities.
More information are available here.