Doctoral Candidate: Ecological Policy Modeling

University of Zurich; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

The University of Zurich invites applications for an interdisciplinary doctoral position within the ReDiLEEP network, focusing on agent-based policy models in EU biodiversity policy. You will work in an international research team at the Irchel campus, Zurich.

The role includes 36 months of doctoral research plus 12 months institutional support, with five secondments to non‑academic partners, training in R/Tidyverse, ML for ecologists, and science‑policy communication.

Qualifikationen

• Master’s degree or equivalent in ecology, environmental science, sustainability, or closely related field.
• Strong interest in biodiversity and sustainability policy.
• Experience with quantitative analysis, modelling, or programming (R, Python, NetLogo, Julia).
• Interest in agent-based modelling and policy analysis.
• Excellent written and spoken English.

Aufgaben

• Develop and validate agent-based policy models for EU biodiversity policy contexts.
• Quantify ecological and socio-economic trade-offs among policy options.
• Parameterise behavioral rules using empirical evidence and stakeholder input.
• Run governance and policy scenarios for RD maintenance and restoration governance.
• Produce publications and policy-relevant outputs; participate in ReDiLEEP training and activities.

Kenntnisse

Quantitative analysis

Modelling

Simulation

Programming

Ausbildung

Master's degree in ecology or related field

Tools

R

Python

NetLogo

Julia

Jobbeschreibung

The University of Zurich invites applications for an interdisciplinary doctoral position within the ReDiLEEP network, focusing on agent-based policy models in EU biodiversity policy. You will work in an international research team at the Irchel campus, Zurich.

The role includes 36 months of doctoral research plus 12 months institutional support, with five secondments to non‑academic partners, training in R/Tidyverse, ML for ecologists, and science‑policy communication.