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22.01.25

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Research Scholar in agricultural sector modeling

International Institute for Applied Systems Analysis

The IBF Research Group, part of the IIASA Biodiversity and Natural Resources (BNR) Program is seeking an applied economist to play a pivotal role in shaping the future of the EU agriculture and food system. This position offers a unique opportunity to contribute directly to high-impact policy advice, addressing critical sustainability challenges such as climate change impacts, adaptation and mitigation, biodiversity, and food and nutrition security at the science-policy interface.

At the IBF Research Group, we don’t just model future scenarios—we help shape real-world decisions. Our work directly supports implementation of the EU Green Deal, the Farm to Fork Strategy, and other transformative policies aimed at sustainable land use, food security, and climate resilience. As a part of our team, you will:

  • Engage in applied policy advice that informs national governments, EU institutions, and international organizations.

  • Be at the forefront of translating scientific insights into actionable solutions, influencing policies that make a tangible difference for society and the environment.

  • Collaborate with leading experts recognized as Top 1% highly cited researchers and contribute to high-profile international research and policy projects such as LAMASUS, BrightSpace, and SWITCH.

Requirements

  • PhD in applied economics (e.g., agricultural, development, or resource economics) or a master’s degree with significant relevant experience.

  • Experience with large-scale applied economic models, particularly in sectoral or general equilibrium frameworks.

  • Strong analytical, quantitative, and programming skills (e.g., R, Python, GIS tools); proficiency in GAMS is an asset.

  • A commitment to continuous learning and the ability to tackle novel topics.

  • Proven capacity to autonomously design and implement research projects.

Bewerbungsmöglichkeiten

Jobdetails

Bundesland
Niederösterreich
Ausmass
Vollzeit
Anforderungsprofil
AbsolventInnen (Berufseinsteiger)
Anstellungsart
Akad. Arbeit (Ma/Dip/PhD)
Branche
  • Wissenschaften
    • Forschung und Entwicklung
    • Data Science