The Resilience and Adaptive Management Group (http://ram.uaa.alaska.edu/) at the University of Alaska Anchorage invites applications for a Postdoctoral Scientist in the area of computational social science and social-ecological systems. The position is for two years, with the likelihood of an additional year renewal.
The successful candidate will work in one or more of the following areas: text analysis and text mining, social data collection, social and spatial analysis, and/or the development of social-ecological models. The successful candidate will work as a member of a team of interdisciplinary scientists in support of a collaborative NSF-funded study involving researchers at University of Alaska Anchorage, University of Chicago, University College London, and University of New Hampshire. The study attempts to better understand the social and environmental dynamics that contribute to the resilience of communities and to forecast potential water resource consequences within a cultural and biophysical context.
A PhD degree (already received, or having completed requirements) that supports the interdisciplinary study of social-ecological systems is desired – this could be in one of the following fields: anthropology, computational social science, computer science, decision and information science, geography, rural sociology, or other related fields. Candidates with strong quantitative backgrounds and degrees are encouraged to apply. The successful candidate should have familiarity and experience with one or more of the following approaches or techniques: agent-based modeling, text analysis, GIS, and statistical analysis of social data. Candidates should have the ability to work independently while functioning as part of a close-knit research team. Publications on social-ecological analysis, text analysis, mapping, or modeling are a plus.
Deadline: Review of applications will commence 30 April 2012 and continue until the position is filled. Please send a CV and cover letter to [email protected]. Call (907) 786-7765 for more information.