Open Postdoctoral position, faculty mentor Chris Field

Important Info

Faculty Sponsor First name: 
Chris
Faculty Sponsor Last Name: 
Field
Stanford Departments and Centers: 
Woods Institute
Postdoc Appointment Term: 
The appointment will be for one year.
Appointment Start Date: 
01/15/2026 or once the position is filled
How to Submit Application Materials: 

Send application materials to environment@stanford.edu. Please use Solar Geoengineering in the subject line. For full consideration, please submit all materials by December 31, 2025.

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$80,826-$90,826

The Stanford Woods Institute for the Environment is pleased to announce a post-doctoral position on solar geoengineering impacts. The successful candidate will work on a new, multi-investigator project focused on economic, health, and social impacts of past volcanic eruptions that produced substantial amounts of stratospheric aerosols.  The analysis will be based on causal inference methods from econometrics.  The project extends the work of Proctor and colleagues (Nature, 2018, https://doi.org/10.1038/s41586-018-0417-3) to other impact variables.  Impact variables to be explored include crop-specific and region-specific agriculture, animal agriculture, human health, and several aspects of economic activity.  Some, but not all, of the relevant data sets are already assembled. The project team includes experts in specific impact areas as well as causal inference.
 
The Stanford Woods Institute for the Environment is a research unit within the Stanford Doerr School of Sustainability. The Woods Institute encourages interdisciplinary and solutions-oriented approaches to important environmental problems.  More than 150 Stanford faculty members, representing all seven of Stanford’s schools, are affiliates.  The institute pursues its objectives through seed funding, hosting interdisciplinary centers, organizing convenings, and leadership training.

Required Qualifications: 
  • A PhD in data science, computer science, health or environmental sciences, or environmental economics
  • Experience with causal inference methods, especially fixed-effects regression
  • A demonstrated interest in interdisciplinary, systems-level approaches
  • The ability to work effectively in an interdisciplinary team and with diverse community members
Required Application Materials: 
  • A letter of application
  • CV
  • Contact information for 3 references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.