Research Scientist

Primary purpose of this Research Scientist position is to act as code manager for NOAA/OAR/ARL’s model and tool repository while conducting developmental and testing work for atmospheric composition models.

• Design, implement, and manage research projects focused on regional and urban-scale air quality forecasting.
• Collaborate with multi-disciplinary teams to integrate modeling outputs into operational decision-making systems.
• Apply machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional chemical transport modeling systems.
• Improve prediction accuracy and computational efficiency through fine‑resolution data fusion, bias correction, and model surrogate development.
• Conduct experiments comparing AI-enhanced models with conventional methods and validate performance under various atmospheric scenarios.
• Prepare manuscripts for submission to high‑impact, peer‑reviewed journals in atmospheric science, environmental engineering, or AI applications.
• Present research findings at national and international scientific conferences, workshops, and stakeholder meetings.
• Contribute to proposal development for external research funding, including NSF, NOAA, NASA, and EPA.

• Bachelor’s degree in a related field.
• Considerable experience (generally 5 years or longer) in atmospheric sciences.
• Knowledge of Fortran, Python, R, and database technologies such as Postgres, MySQL, SQLite, and shell programming.

• Knowledge of Community Multiscale Air Quality program (CMAQ), Sparse Matrix Operator Kernel Emissions program (SMOKE), data assimilation, surrogate tools, and related modeling skillsets.

Equity Statement George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.