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Job Postings

CMAS offers a place to post jobs related to atmospheric science, atmospheric modeling, meteorological modeling, and climate modeling. If you would like to post a job here, please email the job information to cmas@unc.edu. Make sure that you include an expiration date in your job description. If the position is hiring until filled, we will post it for 2 months, and you can ask to repost if needed.

Available Positions

• Air Pollution Specialist with California Air Resources Board   [APPLY]

  
  The California Air Resources Board (CARB) is seeking a motivated, innovative, and technically oriented individual to contribute to a team of multidisciplinary scientists and engineers to develop, maintain, and enhance CARB's emissions inventories in support of State Implementation Plans (SIPs), community health initiatives, and regulatory development.
  
  The section works closely with and collects stationary source emissions data from California's 35 air districts pursuant state and federal requirements. A core function of the section is to improve the quality of this data through a variety of mechanisms. To that end, they develop and maintain data applications for the collection of emissions data, data management, and reporting tools. These tools support SIPs and regulations, and provide communities, air districts, regulators, scientists, state agencies, and other stakeholders with accessible, reliable, and user-friendly emissions data, helping them understand what pollutants are released into the air and by whom. In addition, the section closely collaborates with CARB staff, other government agencies, and academic researchers to develop and implement novel QAQC checks, develop methodologies for estimating emissions from stationary sources and review methdologies submitted by air districts.
  
  The work this section produces is foundational to improving air quality in California. In this position you'll be a vital partner to air quality planning, photochemical modeling, regulation development, community-level emission reduction plans, and project level assessments. The ideal candidate will possess strong leadership skills and a solid scientific background in air quality, air quality modeling, emissions inventory, stationary source emissions, or a closely related field.