PSU rural sociology 有一个PhD或者master的机会
11600
[align="left"]Graduate Research Assistantship at Penn State: Population Change, Climate Change, and Critical Infrastructure (an NSF project)[/align][align="left"]
[/align][align="left"]A graduate research assistantship position becomes available at the Rural Sociology program of the Department of Agricultural Economics, Sociology, and Education at the Pennsylvania State University. This is an NSF-funded multi-year position starting in August 2016. The successful candidate will work with Dr. Guangqing Chi on population change, climate change, and critical infrastructure in the context of community resilience. Applicants must apply for a joint Ph.D. or M.S. degree in rural sociology and demography. The candidate is expected to have, but not limited to, research interests in rural sociology, demography, population and environment, infrastructure, community resilience, transportation and society, climate change, and/or Big Data for social science research. Competence in rigorous statistical and spatial analysis is preferred. The student should also be self-motivated, open to learning new methods, resourceful, independent, and professional. Applicants are encouraged to contact Dr. Guangqing Chi directly at 1point3acres.com.[/align]
[/align][align="left"]A graduate research assistantship position becomes available at the Rural Sociology program of the Department of Agricultural Economics, Sociology, and Education at the Pennsylvania State University. This is an NSF-funded multi-year position starting in August 2016. The successful candidate will work with Dr. Guangqing Chi on population change, climate change, and critical infrastructure in the context of community resilience. Applicants must apply for a joint Ph.D. or M.S. degree in rural sociology and demography. The candidate is expected to have, but not limited to, research interests in rural sociology, demography, population and environment, infrastructure, community resilience, transportation and society, climate change, and/or Big Data for social science research. Competence in rigorous statistical and spatial analysis is preferred. The student should also be self-motivated, open to learning new methods, resourceful, independent, and professional. Applicants are encouraged to contact Dr. Guangqing Chi directly at 1point3acres.com.[/align]
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