(14-105) Research Scientist 1
The Boulder branch of the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) seeks to fill a professional scientific position for its collaborative research as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) Global Systems Division (GSD), in Boulder, Colorado (office will be in Boulder).
The Forecast Applications Branch (FAB) of the ESRL GSD is engaged in cutting-edge research and development aimed at improved data assimilation, numerical modeling, and ensemble forecasting methods for the prediction of high impact weather events on fine time and spatial scales. FAB seeks a candidate with extensive experience in Numerical Weather Prediction (NWP) techniques, a strong background in ensemble forecasting and possibly data assimilation, and a desire to become a member of a dynamic research team. The newly developed methods, if successful, will be used in various applications including heavy precipitation, tropical cyclone, aviation, and severe weather forecasting.
- Leading ensemble forecasting related research to operations transition activities for the Developmental Testbed Center (DTC)
- Leading research, development, and day-to-day ensemble forecast activities under the Hydrometeorological Testbed (HMT)
- Carrying out Observing System Simulation Experiments (OSSE) to assess the impact of various observing systems on NWP forecasting
- Research and development aimed at improved methods for statistical post-processing of ensemble forecasts using advanced techniques (e.g., bias correction and downscaling using Bayesian algorithms)
- Contribution to the assessment of analysis, forecast, and observational errors, including forecast error covariances as estimated from a set of ensemble forecasts
- Contribution to the development of advanced ensemble and data assimilation techniques, with an emphasis on building a unified (“hybrid”) data assimilation / ensemble system.
- Support other NWP-related projects as needed
- Ph.D. degree in Meteorology, Applied Mathematics, or related fields by start date
- Extensive experience and specialization in ensemble forecasting, and experience in numerical modeling or data assimilation methods
- Knowledge of and experience with probability and statistics
- Knowledge of and experience with programming languages, Fortran-90 preferred, and scripting languages
- Demonstrated ability to work as part of a development team
- Good verbal and written communication skills
- 1-3 years’ experience working in NWP and experience with Linux/Unix operating systems, display tools, and MPI preferred
Colorado State University is committed to providing a safe and productive learning and living community. To achieve that goal, we conduct background investigations for all final candidates being considered for employment. Background checks may include, but are not limited to, criminal history, national sex offender search, and motor vehicle history.
Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department's commitment to diversity and inclusion.
Apply electronically by sending a resume, cover letter, and the names of three references to the attention of Human Resources Manager at the following email address: firstname.lastname@example.org. Please put your last name and 14-105 in the subject line of the e-mail. References will not be contacted without prior notification of candidates.