Job announcement for one Photochemical Modeler position at Tennessee Air Pollution Control Division

Job announcement for one Photochemical Modeler (Environmental Consultant 2) position at Tennessee Department of Environment and Conservation, Air Pollution Control Division
Nashville, Tennessee
Application deadline is March 9, 2022

The Tennessee Department of Environment and Conservation Division of Air Pollution Control modeling team applies advanced air quality models to simulate the transport and fate of pollutants. The Division is seeking candidates that have experience performing high level, complex technical work and provide guidance to decision makers and be a part of the of a dynamic, collaborative work team. The photochemical modeler assists with the State Implementation Plan (SIP) development and general air quality modeling assignments. This position will be in a leadership role to continue the development of the Division’s photochemical modeling unit. The position is located in our Central Office in Nashville, TN. Currently, TDEC employees are working in alternative workspaces from their home with some scheduled time in their assigned office. Candidates for this position would be generally expected to work in the office two days a week.

The preferred candidate for this position will have the following technical knowledge of Comprehensive Air Quality Model with Extensions (CAMx) photochemical models and Community Multiscale Air Quality (CMAQ), Visualization Environment for Rich Date Interpretation (VERDI), and Sparse Matrix Operator Kernel Emissions (SMOKE). The preferred candidate will have experience in post-processing of modeling data as well as a strong background in scientific computer programming, and Geographic Information System (GIS). A strong background in atmospheric chemistry and physics, emission inventory development, dispersion modeling, meteorological modeling, and/or MOVES modeling. To apply for this position:

Highlighted Responsibilities:
• Maintain and troubleshoot Linus-based workstations for air quality modeling use and use Python and Linux coding for modeling.
• Prepare data inputs for CAMx domains and emissions preprocessor systems on a Linux domain.
• Train other employees in the use of Linux commands and operations for modeling.
• Present work products that provide technically sound modeling results.
• Understand and apply EPA rules and guidance related to emission inventory and air quality modeling