Postdoctoral Researcher in Spatial Data Science and Urban Modeling Mohammed VI Polytechnic University in

This postdoctoral position at Mohammed VI Polytechnic University in Morocco offers an exciting opportunity for researchers specializing in spatial data science, urban modeling, and cost analysis. The role focuses on developing innovative models to estimate the direct and indirect costs of urbanization, considering urban morphology (compact or sprawling), infrastructure, health, and environmental variables. The successful candidate will analyze real case studies and simulate scenarios under various climatic and social contexts, providing valuable decision-making tools for sustainable urban planning.

Main responsibilities include developing and calibrating predictive models using real-world data, simulating urbanization costs across different scenarios, formulating new methodological approaches, and producing high-quality publications in scientific journals. The researcher will also participate in teaching activities and contribute to new research proposals, fostering academic excellence and innovation.

Applicants must possess a Ph.D. in Data Science, Urban Planning, Urban Economics, or a related discipline, with proven experience in research projects addressing urban, environmental, or socio-economic issues. Essential technical skills include proficiency in urban modeling tools such as MATLAB, Python (with libraries like Pandas, NumPy, SciPy, GeoPandas), and R, as well as advanced expertise in predictive modeling and machine learning for multi-variable simulations. Knowledge of complex systems modeling applied to urban dynamics and a strong publication record are required. Fluency in both French and English is mandatory.

The university offers excellent working conditions, a competitive international salary, and a stimulating multicultural environment. This position provides a unique chance to contribute to the advancement of research excellence in Africa, working within a dynamic and supportive team. The application process is conducted through the academic positions portal, and candidates should prepare a CV, cover letter, and evidence of relevant publications. The deadline is unspecified, so early application is encouraged.