Research Assistant Professor, Center for Ocean-Land-Atmosphere Studies

~ The Center for Ocean-Land-Atmosphere Studies (COLA), located at George Mason University in Fairfax, Virginia, is a unique institution which allows earth scientists from several disciplines to work closely together on interdisciplinary research related to variability and predictability of Earth's climate on seasonal to decadal time scales. ~

The scientific premise for research at COLA is that there is a predictable element of the Earth's current climate that makes it possible to accurately forecast climate variations. While the chaotic nature of the global atmosphere is known to impose a limit on the predictability of the state of the climate at a given instant, the hypothesis behind COLA's research suggests that there is predictability in the midst of chaos, and that accurate climate forecasts with lead times longer than the inherent limit of deterministic predictability are possible.

Position Overview

The George Mason University Center for Ocean-Land-Atmosphere Studies, within the College of Science, seeks applicants for a Research Assistant Professor position. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

Responsibilities

• The selected candidate will work on a new NSF-funded project to advance statistical methods for detecting anthropogenic aerosol cooling.
• The incumbent will help develop a statistically rigorous method for incorporating downward surface shortwave radiation data in climate detection and attribution analyses.
• The position is a one-year appointment with the possibility of extension to one additional year depending on funding and performance.

Qualifications

Required Qualifications:

• Ph. D in atmospheric science or physical oceanography, and several years of relevant research experience.
• Must be well-versed in climate science and analyzing large climate data sets.

Preferred Qualifications:

• Candidates with experience in statistical optimization techniques, and detection and attribution methods are preferred.

To Apply

For full consideration, applicants must click here and apply for position number F122Az.  Please complete and submit the online application; and upload a cover letter, CV, and a list of three professional references with contact information.

For full consideration, apply by: February 13, 2017.