PhD in Social-Ecological Modelling & Biodiversity Policy

University of Zurich; Lavamünd; Vor Ort; EUR 62.000 - 75.000; Vollzeit

Benefits dieser Stelle

Relocation support

International network training

MSCA training & mentoring

Zusammenfassung

University of Zurich invites applications for a Doctoral Candidate position in the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP. The PhD focuses on response diversity in biodiversity policy, using agent-based modelling to study socio-economic and governance trade-offs across EU policy contexts.

You will join a 48-month, full-time programme with international secondments and extensive training. The successful candidate will contribute to a cross-disciplinary team, work on

Qualifikationen

• Master's degree in ecology, environmental science, geography, sustainability science, or related field.
• Strong interest in biodiversity and translating ecological science into decision-making.
• Experience with quantitative analysis, modelling, or programming (R, Python, NetLogo, Julia).

Aufgaben

• Develop and validate agent-based policy models for EU policy contexts.
• Quantify ecological and socio-economic trade-offs between policy options affecting response diversity.
• Parameterise behavioural rules using empirical evidence and stakeholder input.
• Run governance scenarios to assess RD maintenance and biodiversity policy feasibility.
• Produce policy-relevant outputs and contribute to MSCA training and dissemination.

Kenntnisse

Quantitative analysis

Modelling

R

Python

NetLogo

Julia

Policy analysis

English writing

Independent work

Ausbildung

Master's degree or equivalent

Tools

R

Python

NetLogo

Julia

Jobbeschreibung

University of Zurich invites applications for a Doctoral Candidate position in the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP. The PhD focuses on response diversity in biodiversity policy, using agent-based modelling to study socio-economic and governance trade-offs across EU policy contexts.

You will join a 48-month, full-time programme with international secondments and extensive training. The successful candidate will contribute to a cross-disciplinary team, work on