Postdoctoral Scholar- Environmental Statistics- Environmental Science, Policy and Management
Open date: March 9, 2023
Most recent review date: Thursday, Mar 23, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, May 31, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
The Department of Environmental Science, Policy and Management at the University of California, Berkeley, is seeking to fill a Postdoctoral Scholar position.
The Postdoctoral Scholar will conduct statistical modeling of impacts of extreme climate events on agriculture in relation to different farming systems. In particular, this postdoc will lead analyses to assess how diversified cropping systems affect crop production during the types of stressful weather that will continue to become more frequent and more severe with climate change. This will include processing existing datasets spanning approximately one million fields across nine states and two decades in the U.S. Corn Belt, including crop yields, remotely sensed data on crop rotation and cover cropping, and environmental variables. The postdoc will then develop statistical models of crop yield risks in a Bayesian causal inference framework. This position would be ideal for either an environmental science PhD with strong statistical training or a statistics PhD with experience or interest in environmental applications.
This position is nested within a broader, multidisciplinary and multisector team with funding from the United States Department of Agriculture and Foundation for Food and Agriculture Research. The goals of the broader team include quantifying the value of farming systems that reduce risk of yield losses for agricultural lenders, insurers, and farmers, via actuarial and economic analyses that will build on the statistical modeling conducted by this postdoc. There is significant potential for real world impact from this research by informing agricultural lending and crop insurance policies in the U.S. Team members span multiple universities and a non profit partner, Land Core.
The postdoc will be based in the Department of Environmental Science, Policy and Management at UC Berkeley, co-advised by Tim Bowles (agroecology) and Perry de Valpine (quantitative ecology). There will be opportunities to engage with the new Eric and Wendy Schmidt Center for Data Science and Environment, which would provide a rich environment for knowledge sharing around data science.
● Develop statistical models linking cropping system diversification (crop rotation and cover cropping) with crop yields during stressful weather. Using a Bayesian causal inference framework is of particular interest.
● Collaborate with multidisciplinary (e.g. agroecologists, agricultural economists, and statisticians) and multi-sector (i.e. academics and NGO) team to contribute to quantify economic risks from different cropping systems and environmental contexts.
● Work collaboratively with and articulate complex statistical concepts to stakeholders without statistical training.
● Lead publication of academic papers and present results at national and international conferences.
●PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program.
●PhD (or equivalent international degree) required by the appointment start date
●No more than three years of post-degree research experience by start date.
● Fluency in R
● Expertise in frequentist and Bayesian linear mixed models.
● Expertise in spatial statistical modeling methods
● Demonstrated ability to work with complex or customized statistical models in applied settings
● Experience managing very large datasets.
● Experience with GIS and creating maps
● Familiarity with searching for and using publicly available agricultural datasets
● Familiarity with obtaining, setting up, and using cloud computing environments
● Knowledge of agricultural ecology
● Demonstrated ability to work collaboratively with and articulate statistical concepts to stakeholders without statistical training
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Interested individuals should include a 1-2 page cover letter describing their research experience
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
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