Research Scientist

George Mason University•Fairfax, VA

56d•Hybrid

About The Position

The primary purpose of this Research Scientist position is to take a role of code manager for NOAA/OAR/ARL’s model and tool repository. The Research Scientist will also conduct the developmental and testing work for the atmospheric composition models.

Requirements

Bachelor’s degree in related field
Considerable experience (generally 5 years or longer) in atmospheric sciences; and
Knowledge of Fortran, Python, R, Database (Postgres, MySQL, SQLite), Shell program language skills.

Nice To Haves

Knowledge of Community Multiscale Air Quality program (CMAQ), Sparse Matrix Operator Kerner Emissions program (SMOKE), Data Assimilation, Surrogate Tools, and other modeling skillsets.

Responsibilities

Leads Research in Air Quality Forecasting and Modeling
Designs, implements, and manages research projects focused on regional and urban-scale air quality forecasting; and
Collaborates with multi-disciplinary teams to integrate modeling outputs into operational decision-making systems.
Develop Advanced ML/AI Models for Air Quality Applications
Applies machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional chemical transport modeling systems;
Improves prediction accuracy and computational efficiency through fine-resolution data fusion, bias correction, and model surrogate development; and
Conducts experiments comparing AI-enhanced models with conventional methods and validate performance under various atmospheric scenarios.
Disseminate Research through Publications and Scientific Engagement
Prepares manuscripts for submission to high-impact, peer-reviewed journals in atmospheric science, environmental engineering, or AI applications;
Presents research findings at national and international scientific conferences, workshops, and stakeholder meetings; and Contributes to proposal development for external research funding, including NSF, NOAA, NASA, and EPA.