Velg din region

Velg regionen som passer best for din plassering eller dine preferanser.

Velg ditt nettstedsspråk

Denne innstillingen kontrollerer språket for brukergrensesnittet, inkludert knapper, menyer og all tekst på nettstedet. Velg ditt foretrukne språk for best brukeropplevelse.

Velg språk for stillingsannonser

Velg språkene for stillingsannonser du vil se. Denne innstillingen bestemmer hvilke stillingsannonser som vises for deg.

COLCOM - Postdoctoral Research Position in Computational Modeling of Co-precipitation Processes
Mohammed VI Polytechnic University

COLCOM - Postdoctoral Research Position in Computational Modeling of Co-precipitation Processes

Uspesifisert
Lagre jobben

Om arbeidsgiveren

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Besøk arbeidsgiverens side

Context

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.

Job Description:

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. 

Key Responsibilities :

  • Develop comprehensive computational models for fluid dynamics, mixing, and reaction kinetics in the CSTR.
  • Implement advanced numerical schemes and perform high-resolution CFD simulations of two-phase flow.
  • Optimize impeller geometry and reactor design using simulation-based parametric studies.
  • Couple computational results with experimental data for model calibration and validation.
  • Apply sensitivity analysis and optimization algorithms to refine model parameters and improve predictive accuracy.
  • Contribute to code development, documentation, and publication of research outcomes in peer-reviewed journals. 

Candidate Profile :

  • Ph.D. in Mechanical Engineering, Chemical Engineering, Computational Fluid Dynamics, or Applied Physics.
  • Strong expertise in numerical modeling of multiphase or reactive flows (CFD experience required).
  • Proficiency with at least one CFD framework (e.g., OpenFOAM, ANSYS Fluent).
  • Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics.
  • Experience with high-performance computing (MPI, parallel simulations) is highly desirable.
  • Demonstrated ability to work independently and collaboratively in interdisciplinary teams.
  • Excellent scientific writing and communication skills in English. 

Expected Outcomes:

  • Perform and validate 3D CFD models that accurately represent the CSTR co-precipitation environment.
  • Optimize reactor configurations and impeller designs to improve mixing and synthesis efficiency.
  • Identify optimal process parameters (e.g., agitation speed, residence time) that enhance tap density and material quality.
  • Develop an advanced optimization and sensitivity analysis framework for accurate parameter estimation.
  • Produce research publications in high-impact journals and contribute to UM6P’s reactor design knowledge base. 

Work Environment:

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.

Duration and Application:

  • Duration: 12–24 months (renewable based on performance and project needs).
  • Location: Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco.
  • Application materials: CV, cover letter, and contact information for two referees.

Søk nå

Fyll ut skjemaet nedenfor for å søke på denne stillingen.
Last opp din CV og vedlegg*

*Ved å søke på en stilling oppført på Academic Positions, samtykker du til våre vilkår og betingelser og personvernpolicy.

Ved å sende inn denne søknaden, samtykker du i at vi beholder dine personopplysninger for formål knyttet til tjenesten. Vi verdsetter ditt personvern og vil behandle din informasjon på en sikker måte. Hvis du ønsker at dine data skal fjernes, vennligst ta kontakt med oss direkte.

Arbeidsoppgaver

Tittel
COLCOM - Postdoctoral Research Position in Computational Modeling of Co-precipitation Processes
Plassering
Lot 660, Hay Moulay Rachid Ben Guerir, Morocco Benguerir, Marokko
Publiseringsdato
2026-03-16
Søknadsfrist
Uspesifisert
Jobbtype
Lagre jobben

Jobs from this employer

Viser jobber på Engelsk, Spansk Endre innstillinger

Om arbeidsgiveren

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Besøk arbeidsgiverens side

Interessante artikler

...
Why KTH Is the Ideal Place to Shape the Future Through Your Work KTH Royal Institute of Technology 5 min lesning
...
Bringing Artificial Intelligence Into the Real World Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) 4 min lesning
...
Six Reasons to Join MBZUAI: Where Research and Innovation Meet Opportunity Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) 4 min lesning
Flere stories