Notre Dame Data Science · 1 month ago
Postdoctoral Research Fellow - Community Conservation Global Synthesis
Notre Dame, IN
Full-time
Onsite
Senior LevelThe 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. The Research Fellow will lead analyses as part of a global working group synthesizing evidence on the biodiversity, climate, and social outcomes of community-based conservation in land and coastal systems.
Higher Education
Responsibilities
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
Qualification
Required
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
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
Preferred
Expertise related to community-based conservation in terrestrial and/or marine realms
Company
Notre Dame Data Science
Welcome to the official LinkedIn page for the University of Notre Dame's Online Master's in Data Science, a flexible program designed for working professionals that you can complete from anywhere.
Founded in 2016
11-50 employees
H1B Sponsorship
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Funding
Current Stage
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