Employment
Post Doctoral Positions in Land Surface Modeling, Regional Climate Modeling, Field Instrumentation, and Climate Data Analysis
The Land, Environment, and Atmospheric Dynamics (LEAD) group at the Department of Geological Sciences seeks highly motivated candidates for postdoctoral positions in land surface modeling, climate modeling, field instrumentation, and climate data analysis. The successful candidates are expected to work on several projects, including the recently funded NASA IDS Coastal Zone Interdisciplinary Science Project.
These full-time positions are immediately available. The appointments are initially for one year and may be up to two or more years dependent upon performance, productivity, and availability of funding. Candidates must
- Possess a Ph.D. in atmospheric sciences, hydrology, engineering, oceanic sciences, or related fields,
- have demonstrated experience in land surface modeling, climate modeling, or field instrumentation,
- Have demonstrated experience with advanced statistical analysis tools for studying correlations, trends, patterns and/or extremes, and
- Have strong (written and oral) communication skills in English.
The successful candidates will be expected to be responsible for one or several of the following objectives,
- Advancing hydrologic parameterizations (including river routing) in CLM and/or Noah-MP,
- Measuring and analyzing eddy-covariance fluxes in central Texas,
- Conducting innovative and high-resolution climate modeling studies,
- Analyzing large volume of climatic, hydrologic, ecologic, in situ, satellite, and modeling datasets, and
- Helping develop a regional environmental modeling system whose core is a coupled land-ocean-atmosphere model to describe observed ecologic and hydrologic responses to changes in climate and land use/land cover in the Gulf coastal states.
The candidates need to be interested in helping graduate students and working in a multi-disciplinary environment with researchers from different units on campus. Excellent programming and visualization skills, strong interest in numerical modeling (e.g., WRF, Noah-MP, CESM, CLM), and excellent skills in using supercomputers (e.g., Lonestar or Ranger at TACC; see http://www.tacc.utexas.edu/) are added advantages.
Interested applicants should forward
- a cover letter with career goals and research interests;
- a curriculum vita;
- official transcripts;
- peer-reviewed publications; and
- names, phone numbers and e-mail addresses of three references to Dr. Zong-Liang Yang