CUS - Postdoctoral Researcher in Spatial Data Science

Postdoctoral Researcher in Spatial Data Science

Position Description:

We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning.

Main Tasks and Responsibilities:

•    Develop a predictive model integrating the direct and indirect costs of urbanization.
•    Calibrate this model using real data from specific case studies.
•    Simulate urbanization costs based on various climatic, morphological, and social scenarios.
•    Formulate innovative methodological approaches.
•    Produce publications on research in scientific journals.
•    Participate in teaching activities.
•    Develop new research proposals.

Required Qualifications:

•    Ph.D. in Data Science, Urban Planning, Urban Economics, or a related field.
•    Experience in research projects applied to urban, environmental, or socio-economic issues.
•    Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R.
•    Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations.
•    Knowledge of complex systems modeling applied to urban dynamics.
•    Publications in scientific journals.

Personal and Organizational Qualifications:

•    Ability to develop innovative methods.
•    Ambition for research excellence.
•    Interest in African issues.
•    Entrepreneurial mindset, dynamism, and organizational skills.
•    Fluency in both French and English (oral and written) is required.

We Offer:

•    Excellent working conditions and competitive salary on an international scale.
•    An opportunity to contribute to the development of research excellence in Africa.
•    A highly stimulating multicultural working environment and a great team atmosphere.