About this role
Description des tâches: • Analyse and interpret complex datasets related to mobility, population, and behavioural patterns. • Develop and implement quantitative models (e.g. simulation, econometric, or behavioural models). • Contribute to the design and implementation of scenario-based analyses (e.g. forecasting, backcasting). • Ensure the scientific quality, robustness, and reproducibility of modelling outputs. • Produce technical reports, scientific contributions, and presentations for project stakeholders. • Participate actively in the MMUST+ consortium, including technical discussions and deliverables. • Work with multidisciplinary teams (data scientists, researchers, policy experts). • Contribute to the planning and execution of project tasks and milestones. • Represent LNDS in selected project meetings and technical exchanges. • Act as a reference expert within LNDS, delivering structured knowledge transfer (workshops, documentation, methods) to enable colleagues to understand, reuse, or contribute to MMUST+ modelling approaches. • Proactively support capability building, by facilitating onboarding of selected LNDS team members into relevant methodologies, tools, or datasets linked to the project. • Where relevant, support other LNDS data projects by providing knowledge from the mobility domain and modelling expertise or analytical input. Études: Master (Bac+5)