Postdoctoral Research Fellow - Community Conservation Global Synthesis
The University of Notre Dame and the University of Michigan are partnering to invite applications for an outstanding Postdoctoral Research Fellow with deep expertise in quantitative analyses of socio-ecological systems. Areas of expertise could include geospatial analysis, integration and causal analysis of environmental and social data, and/or evidence syntheses and meta-analyses.APPLICATION INSTRUCTIONS:
- Do not submit an application through this platform, to apply - please visit this link:
- Interested candidates must submit a CV, cover letter, and a recent publication or dissertation chapter. Candidates should be prepared to share references upon request.
- Lead a systematic review of relevant peer-reviewed and grey literature, including a conceptual synthesis of the term “community-based conservation” and its variants used in marine and terrestrial ecosystems to develop a typology and conceptual framework.
- Compile, harmonize, and analyze diverse social, environmental and climate change mitigation datasets linked to CBC across multiple spatial and temporal resolutions.
- Support horizon scanning or similar Delphi-style efforts to collect data on practitioner, policymaker, and researcher views on the future prospects for CBC.
- Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
- Contribute to collaborative grant writing, proposal development, and data-sharing infrastructure to sustain and expand the project’s activities.
- Engage with global partners and practitioners to ensure findings are accessible and actionable for both research and policy audiences.
- Ph.D. (in hand by the starting date) in Data Science, Statistics, Environmental Science, Economics, Sustainability Studies, Conservation Biology or a related field with a strong quantitative focus. Applicants with an interdisciplinary degree are welcome.
- Demonstrated proficiency in geospatial analysis, data management, data harmonization for data analysis and/or evidence synthesis and meta-analysis, ideally with experience related to ML/NLP/AI tools.
- Strong programming skills in ArcGIS, QGIS, Google Earth Engine, R, Python, or similar software.
- Experience working with large and complex datasets, such as those relating to geospatial and temporal data.
- A strong publication record in data-driven sustainability research or closely related fields.
- Excellent communication skills and an ability to work collaboratively with researchers and practitioners from a range of disciplines and backgrounds.
- Expertise related to community-based conservation in terrestrial and/or marine realms preferred.
- Do not submit an application through this platform, to apply - please visit this link:
- Interested candidates must submit a CV, cover letter, and a recent publication or dissertation chapter. Candidates should be prepared to share references upon request.