Professor Jonathan Colmer and Professor Jay Shimshack in University of Virginia, in collaboration with the Environmental Inequality lab team is inviting applications for two highly skilled and motivated individuals to work as full-time Pre-Doctoral Fellows for a period of two years. The successful candidate will also work closely with John Voorheis, Principal Economist at the U.S. Census Bureau and support partnerships between Colmer, Shimshack, and the U.S. Census Bureau. Projects are expected to relate to environmental inequality, regulation, and policy interventions to increase environmental resilience and sustainability. The appointment will start in June 2025.
The successful candidate will receive an excellent opportunity to gain exposure to and training in a broad range of research topics and methodologies before pursuing a PhD in Economics. You will receive first-hand experience conducting cutting-edge economics research in the field of environmental and energy economics and applied microeconomics more broadly. The successful candidate will develop advanced programming and data analysis skills, as well as opportunities to work with confidential microdata. Day-to-day tasks will focus on data cleaning and organization, writing code and documentation, and data analysis. Other tasks such as conducting literature reviews and writing policy briefs may be assigned according to need and interest.
As part of your development as a researcher you will be part of a community of scholars, including other pre-docs, learning and pursuing research together. You will participate in group research meetings, receive academic advising to prepare you for your PhD career, and will have opportunities to attend research seminars, interact with other pre-docs, graduate students, faculty members, visiting experts, and external collaborators.
Eligibility
- Have completed an undergraduate degree in Economics, Mathematics, or Computer Science.
- Be able to meet the qualifications for Special Sworn Status, or have Special Sworn Status.
- Have a quantitative background with strong programming skills in statistical analysis software (e.g., Stata, R, SAS, Python).
- Be able to work efficiently and independently to solve problems and manage multiple tasks.
- Have excellent communication, time management, and organization skills
- Have interest in pursuing a PhD in Economics or a related field.
Application Details
- Resume/CV
Intellectual curiosity, internal drive, and a desire to do things well can compensate for most technical qualifications.
