PhD offer: Agent-Based Modeling and water management

PhD offer: Agent-Based Modeling and water management

Université Toulouse Capitole and Espace-Dev lab/IRD France Deadline: Jul 14, 2026

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Candidate Profile Required qualifications and skills Applicants must hold a Master’s degree (or equivalent) in one of the following fields: computer science, data science; environmental science and engineering, including hydrology, water sciences, or geography; complex systems modelling, sustainability science, or systems ecology. Competencies in several of the following areas are expected or strongly valued: - Programming (Python, R, or Java) and geographic data processing (GIS); - Agent-based modelling (NetLogo, GAMA, Mesa, or equivalent platform); - Simulation, including exploration, sensitivity analysis ...; - Knowledge of socio-ecological systems analysis frameworks (Ostrom, IWRM, local adaptations). Knowledge in hydrological modelling or mixed methods (qualitative and quantitative) and participatory or transdisciplinary approaches would be a plus. Personal qualities The successful candidate will demonstrate: - Scientific rigour and the capacity to conduct independent research; - Interdisciplinary openness and ability to work at the interface of natural and social sciences; - Enthusiasm for fieldwork and engagement with diverse stakeholders (institutions, local communities, operators); - Excellent written and oral communication skills in French; functional scientific English is required. Prior experience in French overseas territories or southern island contexts would be an additional asset. Application Applications should be submitted before the 14th of July 2026 to Kevin Chapuis and Benoit Gaudou at kevin.chapuis@ird.fr and benoit.gaudou@ut-capitole.fr. The application package must include: - A detailed curriculum vitae; - A cover letter (maximum 2 pages) outlining the applicant’s motivation and vision for the project; - Master’s degree transcripts (or equivalent); For selected candidates, an interview will be organised quickly (in the week of the 13th of July, if possible).

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