Scientist II, Air Quality Job in Fort Collins, Colorado US
Scientist II, Air Quality
Job Description Job Summary Perform air quality modeling using photochemical grid models and associated pre-processors. Review and interpret model results using post-processing tools. Key Responsibilities - Primary responsibility is to conduct photochemical grid modeling for the purposes of evaluating model performance and assessing potential future air quality impacts. - Prepare datasets required for running and evaluating the air quality model. - Modify existing scripts and develop new scripts needed for conducting modeling activities. - Review and analyze modeling results in coordination with other team members. This may include preparation of additional information, such as spatial plots or statistical analyses of model results. - Assist with documenting results in written reports. Report information will include description of methods, model inputs, configurations, results, and analysis of findings. - Participate in group meetings frequently and travel to client meetings occasionally. Qualifications Minimum Requirements: Requires a PhD, or a Master of Science degree with commensurate experience, in Environmental or Chemical Engineering, Chemistry, Earth Science, Atmospheric Science, Computer Science, Statistics or equivalent field. Must have demonstrated experience analyzing air quality data, applying principles of atmospheric chemistry, and using statistical techniques in order to effectively analyze and interpret air quality model results. In order to perform the primary job responsibilities, a qualified applicant is proficient in the Linux computer environment and with Linux/Unix commands. Strong written and verbal communication skills are required, as well as an ability to work well both independently and with others. Additional Desired Qualifications: - Previous experience running air quality models such as CMAQ, CAMx, CALPUFF, GEOS-Chem or similar model. - Previous experience preparing emissions inventories or running emissions models, such as SMOKE, MOVES, MEGAN, or similar models. - Proficient with programming languages such as FORTRAN, C/C++, or Perl, and scripting languages such as C Shell, Bash, or awk. - Familiarity with visualization software, ArcGIS/ArcMAP, R for statistical computing, or databases such as MS Access or PostGreSQL is a plus. - Knowledge of air quality regulations such as the Clean Air Act or National Environmental Policy Act. - Ability to travel several times a year to client meetings.