PhD Scholar – Resource Inequality & Wellbeing Implications

negotiable / YEAR Expired 3 months ago
This job has expired.

JOB DETAIL

 

position overview

The successful candidate will primarily work on the cutting-edge REMASS research project, exploring themes related to inequalities in global socioeconomic metabolism, the resilience of global supply chains and the wellbeing impacts of alternate provisioning systems. The research will use input-output analysis, econometrics, and data science methods more generally, alongside normative theories of wellbeing including the Decent Living Standards to explore these themes. The candidate will specialize in one or more of these methods and research themes.

main tasks and responsibilities

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  • Inequality analysis: Develop and apply methods to compare within-country and cross-country production and consumption inequalities, their material underpinnings and wellbeing outcomes.
  • Data processing: Process various datasets, including IO tables, trade databases, consumption data, and income data, to create a comprehensive picture of production and consumption inequalities.
  • Socio-metabolic analysis: Develop and apply approaches to analyze the trade-offs and substitutability of different materials within consumption categories to assess reliance to shocks. Capture the socio-economic and environmental impacts of metabolic transitions and possible disruptions. Assess the material and resource footprints of alternative provisioning systems and their wellbeing impacts.
  • Regional and national case studies: Study the transition of resource-endowed countries from extractive models to the development of local downstream industries.
  • Publication and dissemination: Publish research findings in peer-reviewed journals and present at international conferences. Contribute to project reports, stakeholder communication, and capacity-building activities.

skills, qualifications and experience

  • Educational background: Excellent master’s degree in ecological economics, environmental science, engineering, or related interdisciplinary sustainability sciences.
  • Technical skills:
    • Demonstrated expertise in data analysis, with proficiency in relevant software and programming languages (e.g., R, Python).
    • Experience in handling large socioeconomic datasets.
    • Experience with modern tools and concepts related to scientific software development is an asset, including version control, unit testing, continuous integration, and (automated) documentation.
  • Research experience:
    • Background in studying production and consumption inequalities and/or supply chain impacts.
    • Some experience in working with theories of wellbeing and provisioning systems would be an advantage.
    • Demonstrated experience in academic writing and publishing.
  • Other qualifications: Fluency in English and excellent presentation skills.
Laxenburg, Austria
This job has expired.