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I am hiring a post-doctoral researcher in network analysis, climate adaptation and governance focused on sea-level rise adaptation in coastal regions including San Francisco Bay. Requires expertise in statistics and network analysis in R, and programming internet surveys. We may hire two people! Note that you will also have an opportunity to participate in a very vibrant network science/complex systems group that includes Raissa D'Souza and others.
See attachment and below.
Mark Lubell, UC Davis
UC Davis Post-Doctoral Position in Governance Network Analysis and Climate Adaptation
The UC Davis Department of Environmental Science and Policy seeks a post-doctoral fellow in Governance Network Analysis and Climate Adaptation under the mentorship of Dr. Mark Lubell. The position will be for one year residence with possible second year renewal depending on funding. The position will begin in Fall 2017, or as soon as possible after that time. Salary ranges from $48,000 to $58,560 annually depending on experience. This post-doctoral position is part of the NSF-funded project called “Resilient Infrastructure as Seas Rise” (RISER), which is a partnership with UC Berkeley, UC Davis, NYU, and USGS to study adaptation to sea-level rise and coastal flooding. Further information about this project can be found at this link: http://riser.berkeley.edu/.
The main focus of this post-doctoral position is the analysis of the governance networks associated with climate adaptation and sea-level rise in the San Francisco Bay Area and possibly other regions. We seek to understand the structure, dynamics, and function of governance networks for facilitating multi-level cooperation. Some of the data for this project is already collected, but the post-doctoral researcher will also assist in the development of a quantitative online survey to collect additional network, behavioral, and attitudinal data. These results of this project are important for testing theories of governance and cooperation, as well as direct engagement with climate adaptation stakeholders.
The post-doctoral fellow will be a member of Dr. Mark Lubell's Center for Environmental Policy and Behavior<http://environmentalpolicy.ucdavis.edu/> and housed in the Department of Environmental Science and Policy. The post-doc will have opportunities to participate in other network science projects on sustainable agriculture, water management, and climate change. The lab has a long history of work on social and policy networks in environmental and agricultural policy.
Applicants should be recent recipients of a doctoral degree, with demonstrated interest and publication ability in computational social science, network science, and the programming and analysis of quantitative online surveys. They should be experts in statistical and network analysis (including statistical models of networks such as exponential random graph models, multilevel networks, and stochastic actor-oriented models) in R and other appropriate software, including programming of online surveys in Qualtrics or other survey software. The academic record must have demonstrated capacity to work independently and lead the development and publication of research results. Interest in climate change policy and theories of governance is preferred but not required. The position is open with respect to academic discipline, and could include computer science, network science, decision theory, economics, political science, sociology, or other appropriate social science training.
Please notify Dr. Mark Lubell ([log in to unmask]<mailto:[log in to unmask]>) as soon as possible if you intend to apply, and send full applications electronically by September 15, 2017. Applications received by this date will be given first consideration, although we will continue to accept applications after that date. Applications should include a CV, letter describing research interests and background as applied to this project, examples of any relevant publications, and contact information for three references. Top candidates will be interviewed by SKYPE or phone with possibility of campus visit, and asked to supply letters of reference.
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