Mark Miller, site scientist for the ARM Mobile Facility.

The Department of Environmental Sciences at Rutgers University is seeking two candidates: a Post-doctoral Research Fellow and a Research Associate. Applicants interested in either of the positions below should send their curriculum vitae, a brief statement about their research interest, and the names of three references to m.miller@envsci.rutgers.edu. The deadline for applications is 1 September 2008.

Post-Doctoral Research Fellow in Atmospheric Sciences. This postdoctoral research associate will conduct innovative research involving the atmospheric processes that control the spatial and temporal distribution liquid water in non- and weakly precipitating low-level, liquid phase clouds. A key element of this research will be an investigation of the relationships between cloud liquid water path, cloud coverage, and drizzle, and the larger scale environment.

The ideal candidate will have working knowledge of the representations of cloud microphysics in regional climate models, as well as some knowledge of remote sensing. The project will entail using data from surface and satellite remote sensors to examine the microphysical representations used in regional climate models. Special emphasis will be placed upon analysis of data from the Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facilities—particularly the ARM Mobile Facility—and NASA’s CloudSat. A Ph.D. in the atmospheric sciences or closely related field (physics or engineering) is required.

Research Associate. In conjunction with the Department of Energy’s Atmospheric Radiation Measurement (ARM) Program, the Research Associate will serve as an Associate Site Scientist for the ARM Mobile Facility (AMF). The Associate AMF Site Scientist is responsible for scientific analysis of AMF data and publication of key results, active participation in the daily operation of the AMF Site Science Office, and regular interfaces with users of AMF data and the climate modeling community at large toward the overarching goal of testing and improving the parameterizations in climate models. The successful applicant will have demonstrated expertise in remote sensing and a broad knowledge of atmospheric science. A record of publication and independent research and excellent computer and data analysis skills are also required. The position requires a Ph.D. in atmospheric science or a related field and well-developed communication skills; teaching experience would be a plus. Some domestic and international travel is required.