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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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Field
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of strategies to mitigate the impacts of flooding and SLR on both natural coastal ecosystems and the built environment (e.g., facilities and installations). Focus Area: Water Quality, Hydrological and
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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environmental conditions under various hydrologic restoration scenarios. ELVeS is a flexible modeling framework for exploration of non-normal plant distribution responses to environmental variables. A Bayesian
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
a closely related field Background in GIS, remote sensing, hydrology, environmental resource management, public health, urban digital twin, or data visualization Expertise in GeoAI/machine learning
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in high-level scientific journals. Interdisciplinary Collaboration: Work closely with experts in ecology, hydrology, urban planning, and other relevant disciplines to develop innovative and integrated
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practices on hydrology, as well as soil and water quality. The candidate is also expected to contribute to ongoing research projects focused on developing and evaluating efficient irrigation strategies
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and hydrology on landscape functions, and targeted restoration strategies for accelerating recovery of fire-affected landscapes. Required Qualifications Ph.D. in Engineering, Physics, Ecology and
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central to the success of the project. The experts we are looking for can come from a wide range of disciplines and areas of focus/expertise including: hydrology/water systems, agriculture and food systems