32 optimization-engineers Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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. Area of Research: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste
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10 Feb 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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innovative solutions. By leveraging advanced optimization tools and engineering methodologies, He/she will ensure the resilience of the supply chain against disruptions while minimizing its energy consumption
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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9 Feb 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Chemistry Engineering Mathematics Physics Chemistry Researcher Profile Recognised
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech. ABOUT MSN DEPARTMENT The Materials Science, Energy, and nano-engineering (MSN) is a department at
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Description Postdoctoral Researcher in Mineral Processing, Battery Materials, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural
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impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and