The O’Halloran lab in the Department of Forestry and Environmental Conservation at Clemson University currently has an opening for a Ph.D. student starting in spring (January) 2019. We seek an enthusiastic and inquisitive student who is interested in developing a PhD project using eddy covariance and other techniques in one of the following areas: 1) understanding the sensitivity and drivers of greenhouse gas fluxes in coastal wetlands. The student will work with data from a new cluster of eddy covariance towers located in coastal South Carolina including in salt marsh, tidal freshwater marsh, and upland pine sites. A new Picarro CRDS for measuring soil efflux of nitrous oxide and methane is available for the project. 2) the importance of harvesting on the carbon balance and productivity of managed southern pine plantations. The student will have the opportunity to work with data from two new eddy flux towers in a longleaf pine restoration project in coastal South Carolina, as well as data from managed loblolly pine plantations in Virginia. Students will initially live on main campus to complete coursework at Clemson, but then relocate to the Baruch Institute of Coastal Ecology and Forest Science to join the lab group at the coast and complete their fieldwork and writing. A full research assistantship (including stipend and tuition waver) is available for three years.
To apply, send a CV, unofficial GRE and TOEFL scores (if available) and a cover letter stating your previous experience, interest in this specific position, and future goals to Dr. O’Halloran by October 14. Applications will be reviewed as they are received. Contact info and more details about the lab are available here:
Required Qualifications: Bachelor’s degree in forestry, ecology, atmospheric science or other closely related environmental science with strong quantitative abilities and self-motivation.
Preferred Qualifications: M.S. degree (highly preferred) in forestry, ecology, atmospheric science or other closely related environmental science. Programming experience in MATLAB or R. Fieldwork experience in ecology or forestry.