Natural Capital Research Scholar: Policy & Modeling

Stanford University

Palo Alto (CA)

Hybrid

USD 93,000 - 148,000

Full time

14 days+
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Job summary

Stanford University seeks scholars to advance natural capital assessments informing policy and development plans across six focal countries. The role emphasizes modeling landscape and seascape changes, translating ecological data into socio-economic indicators, and co-leading interdisciplinary teams on impactful research.

Strong candidates will hold a PhD, demonstrate English excellence, and show ability to collaborate and communicate across sectors.

Qualifications

  • PhD in a relevant field (e.g., ecology, hydrology, environmental economics).
  • Excellent written and oral communication in English.
  • Ability to collaborate as well as work independently in line with project goals.
  • Strong quantitative and qualitative analytical skills.
  • Willingness to travel internationally to meet with project collaborators.

Responsibilities

  • Support a new effort with scientists, analysts, consultants, and policymakers in six focal countries implementing national-scale development plans.
  • Co-create natural capital information for decision makers in complex government and IFI processes.
  • Conduct analytical work with in-country teams modeling landscape/seascape changes and benefits flows to people.
  • Work with interdisciplinary teams to develop and conduct natural capital assessments informing policy and management decisions.
  • Advance science in ecosystem service modeling and publish findings.
  • Lead engagements in 1–2 countries and guide postdoctoral scholars to ensure project success.

Skills

English communication
Collaboration and independence
Analytical skills
Travel ability
R/Python/GIS

Education

PhD in ecology, hydrology, or environmental economics

Tools

R
Python
GIS

Job description

Stanford University seeks scholars to advance natural capital assessments informing policy and development plans across six focal countries. The role emphasizes modeling landscape and seascape changes, translating ecological data into socio-economic indicators, and co-leading interdisciplinary teams on impactful research.

Strong candidates will hold a PhD, demonstrate English excellence, and show ability to collaborate and communicate across sectors.

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