CUS - Postdoctoral Researcher in Spatial Data Science

KU Leuven; Occitanie; Sur place; EUR 40 000 - 80 000; Plein temps

Résumé du poste

An innovative institution is seeking a postdoctoral researcher in Spatial Data Science to develop groundbreaking models for urbanization costs. This role involves integrating data from various sources to simulate scenarios that aid sustainable urban planning. The successful candidate will have the opportunity to contribute to impactful research while working in a dynamic, multicultural environment. If you are passionate about urban development and have a strong background in data science, this position offers an exciting chance to make a difference in Africa's urban landscape.

Prestations

Excellent working conditions

Competitive international salary

Multicultural working environment

Qualifications

• Ph.D. in a relevant field required.
• Experience in urban modeling and socio-economic research is essential.

Responsabilités

• Develop predictive models for urbanization costs.
• Simulate scenarios for sustainable urban planning.

Connaissances

Urban Modeling

Predictive Modeling

Machine Learning

Data Analysis

Fluency in French

Fluency in English

Formation

Ph.D. in Data Science

Ph.D. in Urban Planning

Ph.D. in Urban Economics

Outils

MATLAB

Python

R

Description du poste

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CUS - Postdoctoral Researcher in Spatial Data Science

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

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.

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.

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.