We have an opening for a Postdoctoral Researcher to conduct research in atmospheric modeling for a variety of applications, which include microscale, and/or mesoscale modeling as well as fate and transport for the National Atmospheric Release Advisory Center (NARAC, see https://narac.llnl.gov) and for wind energy efforts. You will work with a multidisciplinary team of scientists, engineers, technicians, and project managers to develop and apply new capabilities for emergency response and wind energy purposes. This position is in the Atmospheric, Earth & Energy Division.
- Conduct creative research in the field of atmospheric modeling.
- Develop, validate and apply computer models of urban-scale and complex terrain atmospheric transport, diffusion, deposition and effects of hazardous material.
- Analyze model and observational datasets relevant to the NARAC, and/or wind energy applications.
- Document research by publishing papers in peer-reviewed journals and present technical results at scientific conferences.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Perform other duties as assigned.
- Recent PhD in atmospheric science; mechanical, civil or environmental engineering, or a closely related field.
- Experience in one or more of the following areas: urban dispersion modeling, atmospheric science, turbulence and diffusion modeling, nuclear/radiological sources and effects, regional atmospheric flow, atmospheric boundary layer, computational fluid dynamics, large eddy simulation, atmospheric chemistry, aerosol science, field data analysis, and health physics.
- Experience with numerical methods and model development.
- Familiarity with programing languages including Fortran, Python, MATLAB.
- Experience conducting research in atmospheric science, engineering or closely related field, and travel as required to collaborate with researchers.
- Experience with urban-scale simulation in one or more of the following areas: atmospheric transport and dispersion, aerosol science, or large-eddy simulation.
- Experience with large model and observational datasets, modern programming environments, and visualization techniques.
- Proficient verbal and written communication skills, as evidenced by published results and presentations.
- Experience with uncertainty quantification, ensembles, statistical analysis, microphysics or atmospheric boundary layer turbulence, nuclear/radiological sources and effects.
- Familiarity with GPU programming, MPI/ OpenMP for supercomputing.