Research Engineer - AI for Battery Materials - 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 :
Your role:
The Research Engineer will focus on collecting, structuring, and curating data from battery materials experiments reported inthe scientificliterature, and on building an intelligent platform to automate and accelerate materials experimentation.
The role involves:
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Systematic extraction of experimental data from publications on battery materials
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Design of structured databases for materials properties and experimental conditions
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Development of simulation-driven and AI-assisted workflows to guide experimentation
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Contribution to a digital platform inspired by AI-driven materials discovery systems (e.g., Noble AI,Elemynt), enabling hypothesis generation, experiment prioritization, and optimization
This position sits at the intersection of materials science, data engineering, simulation, and artificial intelligence, aiming to accelerate battery materials research through automation and intelligent decision-making.
Key Responsibilities:
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Work with research team to provide technical solutions in the field of AI
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ImplementMLalgorithmsin realenvironment
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MLops
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Data Collection
Profil recherché :
Yourprofile:
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Master's degree inComputerScienceouEquivalent (1337 Ing)
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Excellent background and research experienceinAIand Cybersecurity.
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Proficient in Python andPytorchprogramming
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Ability de parallelize code for use in GPUs and HPC (Slurm)
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Good oral and written communication skills
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