Postdoctoral scholars in urban nature and health outcomes - The Natural Capital Project at Stanford

CLOSING DATE: November 15, 2021

OPPORTUNITY TYPE: Job

JOB #: 17970

POSTED: October 15, 2021

Description:

The Natural Capital Project at Stanford is seeking up to two creative, collaborative postdoctoral scholars to advance our work to connect urban nature and health outcomes through quantitative research and spatial model development. Specifically, postdocs would integrate data on access and exposure to urban nature with information on mental health, physical activity, and other aspects of well-being. Postdocs will contribute to teams working to develop generalizable models for informing urban planning and other decisions affecting people and nature in urban environments.

Each position is for one year with an anticipated start date in January 2022, with the possibility of extension based on performance and funding availability. Positions will be advised by Gretchen Daily, Anne Guerry and Lisa Mandle and affiliated with the Woods Institute for the Environment and the Biology Department at Stanford University.

Skills/Eligibility:

Required qualifications:

  • Ph.D. in a relevant field (e.g., environmental health, statistics, data science, geography, ecology)
  • Strong quantitative analysis skills
  • Ability to work independently and collaboratively
  • Very good written and oral communication skills in English

Preferred qualifications: (Note: Having one or more of the following qualifications is an asset, but we do not expect a single candidate to have all -- or even most -- of the qualifications listed here!)

  • Experience with analysis of geospatial data (e.g., GPS data, satellite imagery)
  • Experience synthesizing disparate data sources, such as with quantitative meta-analysis or Bayesian methods
  • Experience analyzing large datasets, including accessing data through APIs; experience accessing and analyzing health or mobility data is particularly relevant
  • Experience with development of spatial models
  • Proficient in Python (preferred), R, matlab or similar programming language
  • Proficient with ArcGIS, QGIS or other geospatial modeling
  • Experience collaborating on, documenting, sharing and managing code with version control (e.g., git, Github)
  • Experience working in interdisciplinary team settings
How to Apply:

How to apply
To apply, please email mjwilder@stanford.edu with the subject line “NATURAL CAPITAL PROJECT POSTDOC” and attach a cover letter, CV, and contact information for three references. In the cover letter, please describe your interest in and qualifications for the position.

Please also indicate in your cover letter if you would require sponsorship for a visa to work in the United States, as well as any details that would affect the type of visa. Visas must be processed through the consulate in your home country.

Applications will be reviewed on a rolling basis starting November 1.

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