In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
Due to the needs of the Section that are associated with this specific position, the most competitive applicant will have: 1) a strong science or engineering background; 2) recent hands-on modeling experience, including air dispersion and/or toxics modeling (AERMOD, CALPUFF), photochemical modeling (CMAQ, CAMx), or meteorological modeling (WRF), 3) a demonstrated ability to work with large databases; 4) experience with Linux or Unix operating systems, including shell scripting and GIS; and 5) excellent communication skills (both verbal and written). Additionally, all candidates must be enthusiastic team players with strong interpersonal skills. Some or all of the required qualifications listed above may be tested via a written exam prior to oral interviews.
Although not required, ideally, candidates will possess some combination of the following knowledge, skills, or abilities: hands-on experience in meteorological modeling; experience (academic or hands-on) in meteorology, air quality and satellite data analyses; machine learning application, or experience (academic or hands-on) with data processing tools and techniques that can be used to quality assure various datasets and model inputs and outputs.The most competitive candidates will have: experience with UNIX or Linux; FORTRAN, or other programming and scripting languages (SQL, Python or R); knowledge of air quality, atmospheric processes and statistics; previous and current experience with GIS software; and a demonstrated ability to work independently and in a team environment. Applications will be screened and only the most competitive candidates will be interviewed.