Lead Numerical Weather Prediction Analyst (Remote Options)

Colorado State University; Boulder (CO); On-site; USD 90,000 - 105,000; Full time

Job summary

Colorado State University seeks an expert to lead design and evaluation of real-time and retrospective MPAS-based experiments, guiding model development with scientific feedback for regional and global forecast systems.

The role requires a Ph.D. in Atmospheric Science or related field (or MS with substantial post-M.S. experience) and strong Fortran/C++, Python, Linux, and HPC skills. Remote work options are discussed; onsite in Boulder, CO is possible.

Qualifications

• At least two years of experience in numerical weather prediction testing, evaluation, and verification, including planning, coordinating, managing, and executing numerical weather prediction model experiments.
• At least two years of experience in Fortran and/or C++, Python, high-performance computing, and Linux computing environments.
• Experience communicating scientific results, such as through conference presentations, seminars, technical reports, and/or publications.

Responsibilities

• Designs, conducts, and evaluates hypothesis-driven experiments to quantify forecast errors in regional and global forecast systems.
• Contributes to leading the planning, maintenance, and execution of real-time and retrospective forecast systems.
• Provides scientific feedback to inform current and future development activities.
• Serves as a subject-matter expert on observations to inform model development and verification.
• Formulates, executes, and tracks priorities for physics and model development.
• Prepares briefing materials and publications for internal meetings and conferences.

Skills

Numerical weather prediction

Fortran

C++

Python

Linux

HPC

Education

Ph.D. in Atmospheric Science

M.S. in Atmospheric Science

B.S. in Atmospheric Science

Job description

Colorado State University seeks an expert to lead design and evaluation of real-time and retrospective MPAS-based experiments, guiding model development with scientific feedback for regional and global forecast systems.

The role requires a Ph.D. in Atmospheric Science or related field (or MS with substantial post-M.S. experience) and strong Fortran/C++, Python, Linux, and HPC skills. Remote work options are discussed; onsite in Boulder, CO is possible.