The candidate must have a Ph.D. in atmospheric sciences or a related physical or mathematical science, or an M.S. in atmospheric sciences or related physical or mathematical science with 3 to 5 years’ experience.
Demonstrated knowledge, skills, and abilities in at least five of the following areas:
- Knowledge of the physical and mathematical basis of numerical weather prediction and experience running advanced numerical models.
- Experience in high-resolution model development under community software infrastructures. Familiarity with FMS, NEMS, and ESMF is desirable but not a requirement.
- Experience working in a UNIX environment with advanced scripting languages (e.g., Perl, ksh, Python, Ruby, etc.).
- Extensive practical application of compiled computing languages such as FORTRAN, C, and C++, as well as familiarity working with geophysical data formats (NetCDF, GRIB, BUFR, etc.) and graphical display programs such as GRADS, Python, etc.
- Software requirements analysis and design.
- Software version control systems (e.g. Git).
- Packaging of the scientific core of complete software elements (i.e., objects, library modules, occasional complete applications).
- Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form.
- Ability to work independently and in a team environment on complex problems.
- Demonstrated skill in performing tasks requiring organization and an attention to detail.
Candidates must be a U.S. Citizen or Green Card Holder to qualify (please indicate in your cover letter).
- The desire and ability to learn and develop scientific capability.
- Familiarity with numerical weather prediction at high resolutions.
- Familiarity in working with earth system model software infrastructure.
- Familiarity with community modeling. Experience with FV3 is preferred but not a requirement.
- Experience developing and testing numerical environmental prediction codes in a high-performance computing environment.
- Familiarity with operational NWP and/or an operational forecasting environment.