2-year NSF-funded post-doctoral associate position in climate change policy + digital technology
Angel Hsu
UNC Public Policy (https://publicpolicy.unc.edu/) is an academic department within the College of Arts & Sciences (CAS). Public Policy provides students with the theoretical perspective, analytical skills, and substantive knowledge needed to address domestic and global policy challenges.
The Data-Driven EnviroLab (www.datadrivenlab.org) headed by Prof. Angel Hsu is seeking a two-year post-doctoral research associate to contribute to a National Science Foundation-funded project that investigates the role of emerging technologies such as distributed ledger systems to climate change tracking and governance. The Data-Driven EnviroLab is an interdisciplinary group of researchers that applies cutting edge data analytics and quantitative approaches to environmental policy questions, from climate change to urbanization and energy. The post-doctoral associate will also have the opportunity to contribute to a range of the group's other projects, building quantitative data analysis skills and contributing to ongoing real-world policy efforts and projects.
Applications must have completed a PhD in a relevant field, such as computer science, data science, climate policy or science, quantitative policy analysis, political science, science and technology studies.
Domain expertise in either emerging technologies like distributed ledger systems (i.e., blockchain), Internet governance, or climate change strongly desired. Candidates who have quantitative data analysis (R, Python) or programming skills also strongly desired.
The University is an equal opportunity, affirmative action employer and welcomes all to apply without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation or veteran status.
For full consideration, please apply at https://unc.peopleadmin.com/postings/176393
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Angel Hsu
UNC Public Policy (https://publicpolicy.unc.edu/) is an academic department within the College of Arts & Sciences (CAS). Public Policy provides students with the theoretical perspective, analytical skills, and substantive knowledge needed to address domestic and global policy challenges.
The Data-Driven EnviroLab (www.datadrivenlab.org) headed by Prof. Angel Hsu is seeking a two-year post-doctoral research associate to contribute to a National Science Foundation-funded project that investigates the role of emerging technologies such as distributed ledger systems to climate change tracking and governance. The Data-Driven EnviroLab is an interdisciplinary group of researchers that applies cutting edge data analytics and quantitative approaches to environmental policy questions, from climate change to urbanization and energy. The post-doctoral associate will also have the opportunity to contribute to a range of the group's other projects, building quantitative data analysis skills and contributing to ongoing real-world policy efforts and projects.
Applicants must have completed a PhD in a relevant field, such as computer science, data science, climate policy or science, quantitative policy analysis, political science, science and technology studies.
Domain expertise in either emerging technologies like distributed ledger systems (i.e., blockchain), Internet governance, or climate change strongly desired. Candidates who have quantitative data analysis (R, Python) or programming skills also strongly desired.
The University is an equal opportunity, affirmative action employer and welcomes all to apply without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation or veteran status.
For full consideration, please apply at https://unc.peopleadmin.com/postings/176393
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Research Associate
The range of projects the Research Associate is expected to support include:
-The Urban Environment and Social Inclusion Index (www.datadrivenlab.org/urban), the first spatially-explicit index measuring cities’ performance on Sustainable Development Goal 11, which charges urban areas to be sustainable and inclusive;
-A National Science Foundation (NSF)-supported project investigating the use of distributed ledger technologies for climate action tracking;
-The role of cities, regions, and companies in global climate change mitigation and governance, with a particular focus on the Global South;
-Vulnerability risk mapping and assessment of the Urban Heat Island effect in Singapore, as part of the Cooling Singapore 2.0 research collaborative.
-Emerging AI-driven, digital environmental governance in China
The Research Associate will assist with experimental/research Design, data collection, desk research and writing, contributing to academic peer-reviewed articles as well as popular blog/communication pieces; work with PI and team members and students on a range of projects; assist with fundraising, grant reports, budgeting; present work at outreach events and coordinate workshops/events as needed.
Educational Requirements
Graduate of a bachelor's or master’s degree program in a relevant field (e.g, environmental management, data science, or other).
For full consideration, please apply at https://unc.peopleadmin.com/postings/183199
Data Scientist
- Applicants must have completed a B.S./M.S./PhD in a relevant quantitative field, such as geography, statistics, computer science, data science, climate policy or science, quantitative policy analysis, political science, or economics.
- Experience with statistical programming language is required; experience working in R or Python is strongly preferred.
-Proficiency in at least two of the following languages/software: R, Python, JavaScript/HTML, GIS, bash, or others. Some of the skills past hires have utilized for our work include:
- Statistical analysis and data visualization in R or Python
- Statistical analysis, data visualization, and web scraping in Python
- Presentation of data and research findings in attractive, web accessible visualizations (RShiny, Javascript/d3)
- Presentation of data and research in map-based formats (Tableau, CartoDB, Javascript/Leaflet, ArcGIS, QGIS)
- Website development (PHP/WordPress)
- Work on open-source geospatial calculation tools utilizing GIS (QGIS or Google Earth Engine)