Research Scientist in Applied Mathematics, Modeling, and Optimization - Rabat
Informatique / Electronique - Secteur Enseignement / Formation
- Intermédiaire (3 à 5 ans)
- 1 poste(s) sur Rabat et région - Maroc
- Bac +5 et plus Minimum
Besoin d'autonomie Besoin de réflexion Ambition Implication au travail Recherche de nouveauté
- CDI
- Télétravail : Non
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 :
Position Summary:
The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a Research Scientist in Applied Mathematics, Modeling, and Optimization to contribute to the interdisciplinary Wicked Problems (WiP) framework in the undergraduate program. This role integrates mathematical modeling, numerical simulation, and decision optimization to help students understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design.
Key Responsibilities:
· Mentor student teams in the mathematical modeling and optimization of dynamic, uncertain, and multiscale systems.
· Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools.
· Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory.
· Provide expertise in operations research methods (e.g., linear, nonlinear, integer, stochastic programming) and computational mathematics (e.g., finite elements, reduced-order models).
· Co-develop open-source tools, educational notebooks, and visual interfaces for mathematical exploration and experimentation.
· Publish research and co-author student-led publications resulting from WiP investigations.
· Contribute to applied research motivated by the WiP investigations.
Required Qualifications:
· Ph.D. in Applied Mathematics, Operations Research, Scientific Computing, Engineering, or a closely related field.
· Proven expertise in mathematical modeling and numerical optimization techniques.
· Proficiency with programming languages such as Python, MATLAB, Julia, or C++.
· Experience developing and applying algorithms for simulation, optimization, or decision analysis.
· Strong commitment to interdisciplinary education and student mentoring.
Desirable Qualifications (at least two of the following):
· Experience with PDE-constrained optimization, optimal control, or inverse problems.
· Familiarity with numerical libraries (e.g., FEniCS, Gurobi, Pyomo, deal.II, PETSc).
· Background in real-world systems such as smart manufacturing, energy networks, or biological systems.
· Interest in hybrid modeling (e.g., combining physics-based models with machine learning).
· Experience co-developing tools or interactive content for STEM education.
Cross-Domain Application Areas May Include:
· Resource allocation in energy, health, and logistics
· Simulation of physical, biological, or socio-technical systems
· Digital twin modeling and control
· Mathematical foundations of sustainability and resilience
· Intelligent decision-support systems
Profil recherché :
Position Summary:
The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for aResearch Scientist in Applied Mathematics, Modeling, and Optimizationto contribute to the interdisciplinaryWicked Problems (WiP)framework in the undergraduate program. This role integrates mathematical modeling, numerical simulation, and decision optimization to help students understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design.
Key Responsibilities:
· Mentor student teams in the mathematical modeling and optimization of dynamic, uncertain, and multiscale systems.
· Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools.
· Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory.
· Provide expertise in operations research methods (e.g., linear, nonlinear, integer, stochastic programming) and computational mathematics (e.g., finite elements, reduced-order models).
· Co-develop open-source tools, educational notebooks, and visual interfaces for mathematical exploration and experimentation.
· Publish research and co-author student-led publications resulting from WiP investigations.
· Contribute to applied research motivated by the WiP investigations.
Required Qualifications:
· Ph.D. in Applied Mathematics, Operations Research, Scientific Computing, Engineering, or a closely related field.
· Proven expertise in mathematical modeling and numerical optimization techniques.
· Proficiency with programming languages such as Python, MATLAB, Julia, or C++.
· Experience developing and applying algorithms for simulation, optimization, or decision analysis.
· Strong commitment to interdisciplinary education and student mentoring.
Desirable Qualifications (at least two of the following):
· Experience with PDE-constrained optimization, optimal control, or inverse problems.
· Familiarity with numerical libraries (e.g., FEniCS, Gurobi, Pyomo, deal.II, PETSc).
· Background in real-world systems such as smart manufacturing, energy networks, or biological systems.
· Interest in hybrid modeling (e.g., combining physics-based models with machine learning).
· Experience co-developing tools or interactive content for STEM education.
Cross-Domain Application Areas May Include:
· Resource allocation in energy, health, and logistics
· Simulation of physical, biological, or socio-technical systems
· Digital twin modeling and control
· Mathematical foundations of sustainability and resilience
· Intelligent decision-support systems
Adresse de notre siège :
Lot 660, Hay Moulay Rachid, Ben Guerir 43150
Traits de personnalité souhaités :
Besoin d'autonomie Besoin de réflexion Ambition Implication au travail Recherche de nouveauté
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