Ensemble Forecasting Scientist

Colorado State University; Boulder (CO); Hybrid; USD 95,000 - 125,000; Full time

Job summary

Colorado State University’s Cooperative Institute for Research in the Atmosphere (CIRA) seeks a Research Scientist to advance next-generation ensemble weather prediction with NOAA’s GSL in Boulder, CO. The role emphasizes developing probabilistic forecasts, testing innovative methods, and producing actionable decision-support tools for stakeholders.

Required are extensive experience with ensemble systems, programming in Fortran/C++, Python, and HPC on Linux, plus strong communication of

Qualifications

• Bachelor’s Degree in Atmospheric Science or related field with substantial experience, or Master’s with significant experience, or PhD with experience as applicable (RA IV/RA III).
• Experience with ensemble weather prediction systems and balancing probabilistic skill with forecast dispersion.
• 2+ years developing and evaluating numerical weather prediction model experiments; experience with Fortran/C++/Python, HPC, Linux; proven scientific communication.

Responsibilities

• Apply understanding to design and evaluate skillful high-resolution ensemble weather prediction systems.
• Refine ensemble generation and evaluation methods and test innovations for probabilistic forecast skill.
• Prepare briefing materials and publish scientific content; may supervise 1–3 staff.
• Contribute to hypothesis-driven experiments to advance regional/global ensemble models.

Skills

Ensemble prediction experience

Fortran/C++

Python

HPC

Linux environments

Scientific communication

Education

PhD in Atmospheric Science

MS in Atmospheric Science

Tools

Fortran

C++

Python

HPC

Linux

Job description

Colorado State University’s Cooperative Institute for Research in the Atmosphere (CIRA) seeks a Research Scientist to advance next-generation ensemble weather prediction with NOAA’s GSL in Boulder, CO. The role emphasizes developing probabilistic forecasts, testing innovative methods, and producing actionable decision-support tools for stakeholders.

Required are extensive experience with ensemble systems, programming in Fortran/C++, Python, and HPC on Linux, plus strong communication of