The position pays full tuition, health insurance, and stipend for living expenses. Student will work 20 hrs per week on the project and complete dissertation research on the subject. The project will be guided by NAU faculty member Dr. Temuulen "Teki" Sankey. Applicants for the PhD program should have good understanding of remote sensing and soils, and previous experience in image processing and GIS. The funding is for 3 years starting in spring of 2014. Additional funding may be available via teaching assistantships. Potential applicants must contact Dr. Sankey (<mailto:[email protected]>[email protected]) as soon as possible to be accepted by January 2014. The PhD application process for NAU can be found at <http://nau.edu/CEFNS/NatSci/SESES/Degrees-Programs/Graduate/>http://nau.edu/CEFNS/NatSci/SESES/Degrees-Programs/Graduate/.
PhD student Opportunity: Predicting pine forest snow distribution
with satellite remote sensing: Northern Arizona University (NAU) will
sponsor a PhD student via a Bureau of Reclamation (BOR)-funded
project in the Coconino National Forest and NAU's Centennial Forest.
The overall objective of the project is to evaluate the effects of
pine forest restoration treatments on snow accumulation and soil
moisture as key parts of the water balance. Specifically, NAU
proposes to: 1) couple remote sensing data analysis with field
measurements, 2) analyze spatial relationships among forest pattern,
topography, snow distribution, and soil moisture using geospatial
statistics, and 3) develop a predictive model of snow distribution
and soil moisture responses to various forest restoration treatments
and the consequent patterns of canopy openings.
