65 postdoc-in-automation-and-control Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with international standards, is established to contribute to the development of Morocco and the African continent. Its vision is honed around...
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for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
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Description du poste Postdoc / Postdoc description Département / Department : Unité / Unit:Center for African Studies Université / University: Mohammed VI Polytechnic University Durée / Duration
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. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable
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Institute (GTI) at UM6P specializes in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low
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Technology Institute (GTI) at UM6P leads cutting-edge work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering
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applications for a Postdoctoral Researcher to contribute to a project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and
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Employer: MOHAMMED VI POLYTECHNIC UNIVERSITY Location: Morocco (MA) Closing date: 15 Aug 2025 Academic Discipline: Engineering & Technology , Chemical Engineering Job Type: Academic Posts , Postdocs
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and arid conditions Test, introduce and upscale new and alternative resilient crops Field preparation and establishment of field trials Conduct controlled trials under greenhouse conditions testing crop
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex