Scegli la tua regione

Seleziona la regione che meglio si adatta alla tua posizione o alle tue preferenze.

Scegli la lingua del sito

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.

Scegli le lingue per gli annunci di lavoro

Seleziona le lingue per gli annunci di lavoro che desideri vedere. Questa impostazione determina quali annunci di lavoro ti verranno mostrati.

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

Non specificato
Salva lavoro

Informazioni sul datore di lavoro

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

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.

Candidati

Compila il modulo sottostante per candidarti a questa posizione.
Carica il tuo CV e gli allegati*

*Applicando per un lavoro elencato su Academic Positions, accetti i nostri termini e condizioni e la nostra politica sulla privacy.

Inviando questa candidatura, acconsenti a che conserviamo i tuoi dati personali per scopi legati al servizio. Valorizziamo la tua privacy e gestiremo le tue informazioni in modo sicuro. Se desideri rimuovere i tuoi dati, contattaci direttamente.

Dettagli del lavoro

Titolo
COLCOM - Postdoctoral Research Position in Computational Modeling of Co-precipitation Processes
Sede
Lot 660, Hay Moulay Rachid Ben Guerir, Morocco Benguerir, Marocco
Pubblicato
2026-03-16
Scadenza candidatura
Non specificato
Salva lavoro

Jobs from this employer

Mostrando lavori in Inglese, Svedese, Norvegese, Danese Modifica impostazioni

Informazioni sul datore di lavoro

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

Questo potrebbe interessarti

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