Argonne National Laboratory is seeking a postdoctoral appointee for the Environmental Science division. The candidate will use remotely sensed measurements to develop microphysical and dynamical observational targets for fine-scale and climate models in order to advance parameterization development. The candidate will also carry out basic research into the life cycle of cloud systems, write technical articles for journal publications, and make presentations at conferences.

Potential applicants should possess the following:

• Knowledge of remote sensing, particularly active remote sensing at X, C, and S bands
• Ability to work with complex data sets and good data management skills
• Knowledge of the scientific Python environment or knowledge in another array-based language (IDL/Matlab) or C/C++/FORTRAN and desire to learn Python
• Ability to present at scientific conferences and colloquia and to turn results into peer-reviewed journal articles
• Good Information Technology (IT) and programming skills
• Communication, interpersonal skills, and an ability to collaborate
• Exposure to scanning radar data, distrometer data sets, and an appreciation of airborne microphysical and kinematic probes
• Understanding of cloud and precipitation microphysics, and solid knowledge of synoptic and mesoscale dynamics
• Some knowledge and exposure to fine scale models (for example the Weather, Research and Forecasting model WRF). Knowledge and experience with scientific visualization and web applications
• Experience participating in and being involved with the planning of field programs.

To view the full requisition and application details, visit the Argonne website.