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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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places applied research and technological innovation at the core of its academic model, with the ambition of positioning Africa-driven research at the global forefront and establishing itself as a
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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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Institution Overview Mohammed VI Polytechnic University (UM6P) is a research-driven institution focused on innovation and development in Africa. The university is committed to addressing global
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data-driven urban development in Morocco and across Africa. The research will support the understanding and management of environmental challenges in urban areas, including land degradation, soil sealing
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with the strategy of the Center for Urban Systems (CUS), which aims to promote sustainable, resilient, and data-driven urban development in Morocco and across Africa. The research will support the
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research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary, entrepreneurship and collaboration with