- Tracking Code
- Job Description
PLEASE NOTE: This is a new, full-time two-year term position with possibility of extension. Initial consideration will be given to applications received prior to 4:00 p.m. (MDT) Friday, April 25, 2014. Thereafter, applications will be reviewed on an as-needed basis.
NCAR – Mesoscale and Microscale Meteorology Division (MMM)
Partial relocation costs paid per UCAR’s relocation policy
If necessary, UCAR/NCAR will sponsor a work visa (e.g., H1B, etc.) to fill this position.
BASIC JOB FUNCTION:
This position will contribute to research on mesoscale data assimilation across different projects. The research conducted focuses on advanced data assimilation methods (both variational- and ensemble-based techniques) and advanced observation types (e.g. cloud-and-precipitation-affected satellite radiances) for regional and global numerical weather prediction.
Conduct research and development related to mesoscale weather prediction with WRF and MPAS community models. Research emphasis will be the improvement of convection-permitting forecasts using all-sky satellite radiances (i.e. both clear and cloud-affected radiances) in the GSI ensemble/variational hybrid data assimilation system.
Further develop advanced methods for the assimilation of clouds from remote sensing and conduct impact studies for various applications where cloud initialization plays a major role.
Prepare results for publication in peer-reviewed journals and for presentation at meetings and conferences. Prepare and deliver summary reports or project progress reports as needed.
Contribute to the goals of the NESL/MMM program. May assist in the development of funding proposals and contribute to program planning for the Data Assimilation Section of MMM.
Education and Experience:
- Ph.D. degree within the last 5 years in Meteorology, Applied Mathematics, or a related field.
Knowledge, Skills and Abilities:
- Knowledge and experience with probability and statistics
- Extensive skill in data assimilation and NWP, as demonstrated in peer-reviewed journal publications
- Knowledge in satellite remote sensing
- Knowledge of and advanced skills with programming languages (Fortran-90 preferred) and scripting
- Ability in working with Linux/Unix operating systems and display tools (NCL, et al.)
- Effective written and oral communication skills
- Demonstrated ability to work independently and as part of a development team
DESIRED (but not required):
- Experience and specialization in data assimilation, numerical forecasting and/or mesoscale weather prediction.
- Experience with WRF numerical model and associated data assimilation systems (WRFDA, GSI and/or DART)
The University Corporation for Atmospheric Research (UCAR) is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender, national origin, ancestry, age, marital status, sexual orientation, domestic partner status, disability, or veteran status.
- Job Location
- Boulder, Colorado, United States
- Position Type
Term Full-Time (T1)