Postdoctoral Scholar - Social-Ecological Systems Modeling
Recruitment Period Open date: July 24th, 2019 Next review date: Wednesday, Aug 7, 2019 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee. Final date: Monday, Aug 26, 2019 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. Description
The Department of Environmental Science, Policy & Management at the University of California, Berkeley seeks a Postdoctoral Scholar to join an interdisciplinary research team studying how interactions among policies, markets, farmers' decisions, and ecosystems affect multiple ecosystem services on farms in the Central Coast of California, an area of intensive agricultural production where tradeoffs between crop production, environmental quality, and wildlife are widespread. The Postdoc will be based in the Boettiger Lab at UC Berkeley. Specifically, working with the team, the postdoc will assess alternative social-ecological scenarios through a Markov Decision Process (MDP) model, based on understanding developed of how policies and regulations affect farmers' decisions around sustainability and crop production, and the resulting suite of ecosystem services. This project is supported by a National Science Foundation Coupled Natural-Human Systems Award. Details available at: https://nsf.gov/awardsearch/showAward?AWD_ID=1824871
PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree) at the time of application.
PhD (or equivalent international degree) required by the appointment start date. The candidate may have no more than four years of post-degree research experience by start date.
Preferred Qualifications :
Demonstrated quantitative and computational skills
Demonstrated written and verbal communications skills
One to two years of experience in optimal control theory and a variety of advanced statistical modelling techniques (such as, but not limited to, Bayesian hierarchical inference)
Domain knowledge in ecology, conservation biology or agriculture
Ability to work independently and as part of a larger team
This position reports to Dr. Carl Boettiger. The initial appointment is 100% for one (1) year with the possibility of an extension, based on satisfactory performance and availability of funding.
Salary and Benefits:
The annual salary range for this position is $50,760 to $59,100. Salary will be commensurate with qualifications and experience. Generous benefits are included (http://vspa.berkeley.edu/postdocs)
How to apply:
To apply, please go to the following link: https://aprecruit.berkeley.edu/apply/JPF02151
Contact information of three references is required, only those of finalists will be contacted. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality: http://apo.berkeley.edu/evalltr.html.
The recruitment will remain open until filled.
Berkeley seeks to advance diversity, equity, and inclusion.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
The department is interested in candidates who will contribute to diversity and equal opportunity in higher education through their work.
Job location Berkeley, California Requirements Document requirements
Curriculum Vitae - Current CV
Cover Letter - 1 page cover letter
Publications - Reprints of up to 3 publications (electronic format)
- 3 required (contact information only)
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