|From||"Roger Brugge" <firstname.lastname@example.org>|
|Date||Mon, 27 Jan 2014 16:53:12 +0000|
Forwarded from CLIMLIST... The Cloud Processes Research group at Lawrence Livermore National Laboratory in Livermore, California has an opening for a Postdoctoral Research Staff Member in the area of cloud feedbacks. A job description is below and applications can be made through posting #11940 at https://careers.llnl.gov <https://careers.llnl.gov/> . Regards, Steve Klein and Mark Zelinka ##### JOB DESCRIPTION ##### Job Title: Postdoctoral Research Staff Member Job ID: 11940 Jobcode Desc: Post-Dr Research Staff 1 (PDS.1) NOTE: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. For important information about LLNL appointments refer to the FAQs above. Eligible candidates are recent PhDs within five years of the month of the degree award at time of employment offer. NATURE AND SCOPE OF JOB The Cloud Processes Research Group has an opening for a Postdoctoral Research Staff Member in the area of investigating cloud feedback processes. The Cloud Processes Research Group is a leader in the study of cloud processes with activities including their diagnosis with observations, their parameterization and evaluation in climate models, and their response to climate change. The Cloud Processes Research Group is closely connected with the Program for Climate Model Diagnosis and Intercomparison (<http://www-pcmdi.llnl.gov)>, a world leader in the diagnosis of climate models and the Atmospheric Radiation Measurement program that provides exciting and novel ground-based remote sensing observations of clouds and related processes. The postdoc will join a team of scientists at LLNL and UCLA that are examining cloud feedback processes. Possible research activities include quantifying sources of inter-model spread in individual cloud feedbacks, evaluating models¹ abilities to capture observed responses of clouds to climate variations, investigating the links between large-scale dynamics and cloud properties in models and/or observations, assessing the degree of timescale invariance in individual cloud feedbacks, or modifying and improving cloud processes in the Community Atmosphere Model. The selected candidate will report to the Cloud Processes Research Group Leader. ESSENTIAL DUTIES - Pursue original research on the processes governing cloud responses to global warming utilizing climate model simulation output from the Coupled Model Intercomparison Project or independent simulations of the Community Atmosphere Model. - Publish research results in technical reports and peer-reviewed journals and present technical results at scientific conferences. - Travel as required to coordinate research with collaborators. - Perform all assignments in accordance with ES&H, security, and business practice requirements and policies. ESSENTIAL SKILLS, KNOWLEDGE AND ABILITIES - Recent PhD in atmospheric science or closely related field. - Experience conducting research in atmospheric science or closely related field. - Expertise in one or more of the following areas: cloud and radiation processes, climate model diagnosis and/or numerical modeling of climate. - Experience with large model and observational datasets, modern programming environments, and visualization techniques. - Experience collaborating effectively with a team of scientists of diverse backgrounds. - Demonstrated fundamental verbal and written communication skills as evidenced by published results and presentations. DESIRED SKILLS, KNOWLEDGE AND ABILITIES - Expertise in atmospheric moist thermodynamics and large-scale dynamics. - Expertise in clouds associated with cumulus convection, marine boundary layers, and/or extratropical cyclones, and their interaction with radiation. - Expertise utilizing satellite and/or ground-based observations such as those collected by NASA and the Atmospheric Radiation Measurement program. SPECIAL REQUIREMENTS Pre-Placement Medical Exam: None required. Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. Anticipated Clearance Level: None.
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