Research Scientist in Complex Systems - Rabat
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 :
Position Summary:
The UM6P Vanguard Center & UM6Ps School of Applied Sciences & Engineering invite applications for a Research Scientist in Complex Systems to support the Wicked Problems (WiP) program. This transdisciplinary position is designed for a researcher capable of bridging networks, feedbacks, and emergence across human, institutional, and physical systems. The ideal candidate will work with undergraduate students and faculty to analyze complexity across domainsfrom social and political systems to cities, ecosystems, and digital infrastructuresthrough both modeling and ethical inquiry.
Key Responsibilities:
· Guide student teams working on complex, interconnected systems across domains such as urban development, social behavior, strategic governance, education, migration, or resilience.
· Introduce and apply tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and scenario planning.
· Facilitate modeling of feedback loops, adaptation, emergence, and collective behavior in real-world cases.
· Co-develop teaching modules and interactive simulations that explore decision-making, value trade-offs, and policy implications in complex environments.
· Support data-driven inquiry using large-scale datasets (social, geospatial, behavioral) and integrate empirical insights with theoretical models.
· Mentor students in producing publishable research, prototypes, and policy-relevant analysis grounded in complexity theory.
· 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 Complex Systems Science, Computational Social Science, Applied Mathematics, Urban Systems, Network Science, Political Economy, or a related field.
· Demonstrated experience with computational modeling of complex adaptive systems (e.g., NetLogo, Repast, Python/ABM libraries, system dynamics tools).
· Familiarity with interdisciplinary modeling frameworks that integrate quantitative and qualitative dimensions of complex problems.
· Proven interest in education and student mentoring, particularly in open-ended, project-based settings.
Desirable Qualifications (at least two of the following):
· Experience in social data science (social networks, large-scale behavior, demographic/mobility data).
· Background in urban or regional systems modeling (e.g., housing, transport, energy, equity).
· Exposure to institutional design, governance, or public decision-making under complexity.
· Familiarity with policy analysis, ethics of innovation, and value-sensitive system design.
· Interest in participatory modeling, foresight methods, or simulation-based policy games.
Cross-Domain Impact Areas May Include:
· Climate adaptation and urban resilience
· Migration and demographic dynamics
· Inequality and access to public services
· Governance, diplomacy, and strategic foresight
· Education innovation and learning ecosystems
· AI, algorithms, and society
Profil recherché :
Position Summary:
The UM6P Vanguard Center & UM6Ps School of Applied Sciences & Engineering invite applications for aResearch Scientist in Complex Systemsto support theWicked Problems (WiP)program. This transdisciplinary position is designed for a researcher capable of bridgingnetworks, feedbacks, and emergenceacross human, institutional, and physical systems. The ideal candidate will work with undergraduate students and faculty to analyze complexity across domainsfrom social and political systems to cities, ecosystems, and digital infrastructuresthrough both modeling and ethical inquiry.
Key Responsibilities:
· Guide student teams working on complex, interconnected systems across domains such as urban development, social behavior, strategic governance, education, migration, or resilience.
· Introduce and apply tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and scenario planning.
· Facilitate modeling of feedback loops, adaptation, emergence, and collective behavior in real-world cases.
· Co-develop teaching modules and interactive simulations that explore decision-making, value trade-offs, and policy implications in complex environments.
· Support data-driven inquiry using large-scale datasets (social, geospatial, behavioral) and integrate empirical insights with theoretical models.
· Mentor students in producing publishable research, prototypes, and policy-relevant analysis grounded in complexity theory.
· 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 Complex Systems Science, Computational Social Science, Applied Mathematics, Urban Systems, Network Science, Political Economy, or a related field.
· Demonstrated experience with computational modeling of complex adaptive systems (e.g., NetLogo, Repast, Python/ABM libraries, system dynamics tools).
· Familiarity with interdisciplinary modeling frameworks that integrate quantitative and qualitative dimensions of complex problems.
· Proven interest in education and student mentoring, particularly in open-ended, project-based settings.
Desirable Qualifications (at least two of the following):
· Experience in social data science (social networks, large-scale behavior, demographic/mobility data).
· Background in urban or regional systems modeling (e.g., housing, transport, energy, equity).
· Exposure to institutional design, governance, or public decision-making under complexity.
· Familiarity with policy analysis, ethics of innovation, and value-sensitive system design.
· Interest in participatory modeling, foresight methods, or simulation-based policy games.
Cross-Domain Impact Areas May Include:
· Climate adaptation and urban resilience
· Migration and demographic dynamics
· Inequality and access to public services
· Governance, diplomacy, and strategic foresight
· Education innovation and learning ecosystems
· AI, algorithms, and society
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