Seleziona la regione che meglio si adatta alla tua posizione o alle tue preferenze.
Questa impostazione controlla la lingua dell'interfaccia utente, inclusi i pulsanti, i menu e tutto il testo del sito. Seleziona la tua lingua preferita per la migliore esperienza di navigazione.
Seleziona le lingue per gli annunci di lavoro che desideri vedere. Questa impostazione determina quali annunci di lavoro ti verranno mostrati.
The synthesis of advanced materials such as LiFePO₄ and FePO₄ through continuous stirred-tank reactors (CSTRs) plays a crucial role in next-generation energy storage technologies.
Achieving high tap density, uniform morphology, and enhanced electrochemical performance depends strongly on the fluid dynamics, mixing efficiency, and reaction kinetics within the reactor.
This postdoctoral position is part of a collaborative research initiative between the Materials and Systems for Nanotechnologies (MSN) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior—
including fluid flow, heat transfer, and reaction dynamics—governing the co-precipitation process.
Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate 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 design improvements, providing a foundation for scalable industrial applications.
The postdoctoral researcher will contribute to the development and validation of computational models for the co-precipitation of FePO₄/LiFePO₄ in CSTRs. The work will involve building multi-scale CFD frameworks that integrate hydrodynamic simulations, chemical kinetics, and thermal transport models to improve reactor design and synthesis performance.
The postdoctoral researcher will work within a multidisciplinary team at UM6P, collaborating closely with experts in computational modeling, materials science, and chemical process engineering. The project will be supported by state-of-the-art computational facilities (ASCC supercomputer) and experimental laboratories for validation.
Join our team as a Postdoctoral Researcher to develop AI/ML algorithms for battery management systems in electric mobility. PhD in AI/ML or related field required.
Seeking PhD in solar energy for a postdoc role studying PV panel performance on post-mining sites. Requires expertise in PV systems, data analysis, and proficiency in English and French.
Join a project on native vegetation in photovoltaic systems at mining sites. Requires PhD in plant ecology, field experimentation skills, and proficiency in English/French. 12-month renewable term.
Conduct research on bioinspired, biobased materials for water retention and soil hydration. Requires PhD, experience with biomass feedstocks, biopolymers, and strong publication record.
Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.
Visita la pagina del datore di lavoro