Research Scientist

Department: Center for Spatial Information Science & Systems (CSISS) 

Alternate Department Description: 

Background Checks: No

Restricted Position?: 

Job Category: Research Staff

Role (State) Job Title: Research Scientist

Working Title: Research Scientist

Job Type: Full-Time

Position Number: F850AZ

Recruit Number: FAC9015

Working Hours: 

Location: Fairfax, VA

Pay Band: 

Salary: Commensurate with education and experience.

For Full Consideration, Apply by: Jan 16, 2023

Posting Date: 12/16/2022

Job Close Date: 

Open Until Filled?: Yes

Telework Friendly?: 

Web Announcement:

Research Scientist

George Mason University and the NOAA Air Resources Laboratory (ARL) are seeking applicants for a Research Scientist at the Cooperative Institute of Satellite Earth System Studies (CISESS) to work with the Atmospheric Transport and Dispersion modeling group at ARL in the NOAA Center for Weather & Climate Prediction (NCWCP) in College Park, MD.

George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

Mason Science is committed to advancing access, justice, equity, diversity, and inclusion throughout our STEM community, including within our hiring and retention practices. At Mason Science, our values include fostering an organizational culture that promotes anti-racism, belonging, respect, and civility. We believe that a diversity of opinions, cultures, and perspectives is what provides vibrancy, innovation, and growth to an academic community. By prioritizing inclusive excellence in academics, teaching, research, and global engagement, we strive to attract a diverse pool of faculty and staff who exemplify the Mason Science mission and vision.


The successful candidate will perform research related to evaluating and improving the transport and dispersion modeling of wildfire emissions, including multi-day fire behavior and propagation, emissions speciation, plume rise, and atmospheric fate and transport processes of emitted pollutants. The ideal candidate will have experience in wildfire research and be familiar with the HYSPLIT atmospheric transport and dispersion model and/or other comparable models. The Research Scientist will be expected to publish the results of their research in high-quality, peer-reviewed journals, and make professional presentations at conferences, seminars, and other internal NOAA meetings. The incumbent is also expected to collaborate with other GMU researchers, as well as NOAA Air Resources Laboratory researchers in carrying out this wildfire R&D. The position is available from January 2023 for 2 years, once filled, with funding available for additional time, dependent on availability of resources and performance.

Required Qualifications:

  • Successfully completed a Masters or Doctoral degree in meteorology, geosciences, atmospheric science, atmospheric physics, atmospheric chemistry, or a sub-field of physical geosciences;
  • Significant data visualization skills.

Preferred Qualifications:

  • Experience with Lagrangian atmospheric transport and dispersion models;
  • Experience in model evaluation and development;
  • Experience with one or more aspects of wildfire modeling;
  • Experience working in UNIX/Linux computing environments;
  • Programming experience, e.g., Fortran, Python, shell scripts;
  • Excellent written and oral communication skills;
  • U.S. Citizen or Permanent Resident (“Green Card”).

Special Instructions to Applicants: 

For full consideration, applicants must apply at; complete and submit the online application; and upload a cover letter, curriculum vitae, and a list of three professional references with contact information.

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.