Research Engineer - Cellulosic Materials & Waste Recycling (CDD - 24 Months - Benguerir
Secteur de l’entreprise : Enseignement / Formation
ENTREPRISE :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Moroccos frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Culture de l'entreprise :
UM6P – Université Mohammed VI Polytechnique se caractérise par une culture fortement orientée innovation, où la créativité, l’expérimentation et l’audace intellectuelle constituent des piliers essentiels. L’université encourage l’initiative, l’ouverture d’esprit et l’autonomie, dans un environnement stimulant tourné vers la recherche, l’entrepreneuriat et l’impact. Cette dynamique innovante est enrichie par une dimension coopérative solide, valorisant la collaboration, le partage des savoirs et le développement humain. Une orientation vers la performance et l’excellence complète l’ensemble, tandis que les processus formels restent volontairement plus légers pour préserver l’agilité.
Poste :
Position Overview
The Research Engineer in Cellulosic Materials & Waste Recycling will contribute to the SMART BIN project, focusing on the characterization of paper-based materials, fiber compositions, and recycling processes. The engineer will work closely with machine learning (ML) specialists and IoT experts to optimize the material classification for automated waste sorting.
The successful candidate will conduct laboratory experiments, develop recycling methodologies, and contribute to the integration of cellulose-based materials into AI-driven waste management systems. They will also mentor students, write technical reports, and collaborate with academic and industrial partners.
Profil recherché :
Key Responsibilities
The selected candidate will:
· Conduct detailed material characterization of cellulosic waste, including fiber morphology, mechanical properties, and biodegradability.
· Analyze coated, treated, and composite paper packaging to improve recyclability.
· Develop sorting criteria based on material composition for integration into ML-based classification models.
· Collaborate with AI and IoT specialists to align sensor calibration and material detection techniques.
· Conduct waste stream analysis to enhance the effectiveness of smart bins in waste segregation.
· Assist in prototyping and testing the SMART BIN system on UM6Ps campus.
· Participate in scientific publications and patent filings related to sustainable waste recycling.
· Provide technical guidance on the circular economy aspects of paper and packaging waste management.
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