PhD offer: Agent-Based Modeling and water management
Université Toulouse Capitole and Espace-Dev lab/IRD
France
Deadline: Jul 14, 2026
Details
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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