Urban Contributions to Global Climate Mitigation Post-doctoral Research Associate
Urban Contributions to Global Climate Mitigation Post-doctoral Research Associate
Posted on :
25-07-2025
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1 Vacancy
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Yearly Salary
$ 65000 - 72000
Vacancy
1 Vacancy
Posted on :
25-07-2025
Job Description
Position Summary
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab ( DDL ) is an interdisciplinary and international research initiative based at UNCs IE that is redefining how data is used to tackle the worlds most pressing environmental challenges. Analyzing the global environment at multiple geographical and jurisdictional levels from cities countries and regions to local communities and corporations we turn complex large-scale and often messy datasets into actionable insights that shape policy drive accountability and create real-world impact. We operate with a commitment to evidence-based equitable solutions building connections across disciplines sectors and geographies while giving special attention to underrepresented communities and data-scarce regions in the Global South. DDL was founded and is led by Associate Professor Angel Hsu. The DDL is seeking a Postdoctoral Research Associate to contribute to an interdisciplinary research initiative focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing Integrated Assessment Models (IAMs) and large-scale geospatial data to evaluate and model urban mitigation efforts and their contributions to global climate goals. The successful candidate will lead and support the development of urban-scale geospatial models and analytical workflows that assess climate mitigation potential and track progress across cities worldwide. This work will involve processing remote sensing data linking geospatial indicators with IAM outputs and modeling the impact of urban policies and infrastructure scenarios. The postdoc will collaborate with a multidisciplinary team of environmental scientists geographers modelers and policy researchers. The position is for 1 year with the possibility of extension pending funding and performance.
Required Qualifications Competencies And Experience
- Ph.D. in Geography Environmental Science Climate Science Earth System Science Geoinformatics Geographic Information Science Urban Planning or a closely related field. - Expertise in satellite remote sensing (e.g. MODIS Landsat Sentinel) especially using Google Earth Engine (preferred). - Proficiency in Python JavaScript or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data including cloud-based or high-performance computing environments. - Strong background in statistical modeling and machine learning especially applied to spatiotemporal data. - Familiarity with urban systems urban emissions modeling or urban policy evaluation. - Experience with version control (e.g. Git/GitHub) and collaborative coding practices. - Able to think critically proactively and work both independently and in an interdisciplinary team environment.
Preferred Qualifications Competencies And Experience
- Experience working with or integrating Integrated Assessment Models (IAMs) or Earth system models. - Background in urban climate policy GHG accounting or net-zero emissions planning. - Familiarity with data-model integration techniques and scenario analysis. - Well-developed critical and analytical skills. - Excellent organization and time management skills.
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab ( DDL ) is an interdisciplinary and international research initiative based at UNCs IE that is redefining how data is used to tackle the worlds most pressing environmental challenges. Analyzing the global environment at multiple geographical and jurisdictional levels from cities countries and regions to local communities and corporations we turn complex large-scale and often messy datasets into actionable insights that shape policy drive accountability and create real-world impact. We operate with a commitment to evidence-based equitable solutions building connections across disciplines sectors and geographies while giving special attention to underrepresented communities and data-scarce regions in the Global South. DDL was founded and is led by Associate Professor Angel Hsu. The DDL is seeking a Postdoctoral Research Associate to contribute to an interdisciplinary research initiative focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing Integrated Assessment Models (IAMs) and large-scale geospatial data to evaluate and model urban mitigation efforts and their contributions to global climate goals. The successful candidate will lead and support the development of urban-scale geospatial models and analytical workflows that assess climate mitigation potential and track progress across cities worldwide. This work will involve processing remote sensing data linking geospatial indicators with IAM outputs and modeling the impact of urban policies and infrastructure scenarios. The postdoc will collaborate with a multidisciplinary team of environmental scientists geographers modelers and policy researchers. The position is for 1 year with the possibility of extension pending funding and performance.
Required Qualifications Competencies And Experience
- Ph.D. in Geography Environmental Science Climate Science Earth System Science Geoinformatics Geographic Information Science Urban Planning or a closely related field. - Expertise in satellite remote sensing (e.g. MODIS Landsat Sentinel) especially using Google Earth Engine (preferred). - Proficiency in Python JavaScript or R for geospatial analysis and modeling. - Experience handling large-scale Earth observation data including cloud-based or high-performance computing environments. - Strong background in statistical modeling and machine learning especially applied to spatiotemporal data. - Familiarity with urban systems urban emissions modeling or urban policy evaluation. - Experience with version control (e.g. Git/GitHub) and collaborative coding practices. - Able to think critically proactively and work both independently and in an interdisciplinary team environment.
Preferred Qualifications Competencies And Experience
- Experience working with or integrating Integrated Assessment Models (IAMs) or Earth system models. - Background in urban climate policy GHG accounting or net-zero emissions planning. - Familiarity with data-model integration techniques and scenario analysis. - Well-developed critical and analytical skills. - Excellent organization and time management skills.
Required Experience:
Exec
Employment Type
Full-Time
Key Skills
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