The Data-Driven EnviroLab (www.datadrivenlab.org) headed by Prof. Angel Hsu is seeking a one-year post-doctoral research associate to contribute to a range of the group’s research projects. As a pioneer of data-driven approaches to environmental policy, the Data-Driven EnviroLab brings quantitative rigor to pressing global challenges at the intersection of climate change, energy, and urbanization. The Post-Doctoral Associate will have an opportunity to further quantitative skills, research, and analytic writing in a fast-paced, dynamic environment that engages the real-world, and will be expected to help lead and contribute to many or all of Data-Driven Lab’s quantitative projects, which include: • Global Climate Action of subnational governments and private actors. We have developed the most comprehensive global database of subnational and non-state climate actions. We have applied a range of computational and statistical modeling techniques to this data, including modeling climate change performance, natural language processing of climate actions, and machine-learning models to predict likely future emissions levels. The post-doc would have access to these data and interface with real-world policy actors and colleagues to refine problem-oriented research questions in this space, while contributing to cutting-edge policy research and present it at international policy fora. • Urban Environment and Social Inclusion Index. We apply remote sensing and geospatial datasets to evaluate at a granular level the intersection of urban environmental performance and social inclusion. Working with other team members, the post-doctoral associate could contribute to this project and assist in new data applications or indicator development. • 4IR/Digital innovation for sustainability. We have an ongoing NSF-funded project examining the role of distributed ledger technology for decentralized climate governance.
Applicants must have completed a PhD in a relevant field, such as economics, public policy, computer science, data science, climate policy or science, science and technology studies.
Qualifications and Experience:
- Candidates must have quantitative data analysis skills, either in econometrics, statistics, or data science and be able to program in one of the following languages our lab uses (R, Python).
- Strong research and writing skills and demonstrated publication record
- Ability to work in a team and mentor undergraduate and graduate students
- Ability to work interdisciplinarily and with partners and collaborators around the world.
Department Contact Name and Title:
Angel Hsu, Assistant Professor
Department Contact Telephone or Email:
Postdoctoral Affairs Contact Information:
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- Curriculum Vitae / Resume
- Cover Letter
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The position will be open until filled. Click here to apply.