|From||"Prasad, Kuldeep Dr." <email@example.com>|
|Date||Fri, 9 May 2014 18:06:21 +0000|
Postdoctoral Position Announcement
National Institute of Standards and Technology
The National Institute of Standards and Technology (NIST) is seeking to fill a post-doctoral / guest researcher position to work on greenhouse gas emissions and dispersion modeling, including atmospheric flux inversions. As part of its Greenhouse Gas (GHG) and Climate Science Measurements program, NIST is developing advanced measurement tools and standards to independently verify greenhouse gas emissions data both nationally and internationally. The Indianapolis Flux Project (INFLUX) was initiated as part of this program to demonstrate the use of spatially dense, surface-based observing networks to locate GHG sources with a top-down methodology, and determine their flux at the targeted levels of accuracy.
The successful applicant will conduct research using Bayesian and/or non Bayesian statistical methods to estimate emission fluxes and their associated un-certainties. The candidate will also work closely with other researchers in the field of mesoscale atmospheric models (WRF), Lagrangian particle models, tracer-transport and emission inventories to develop novel methodologies for estimating the flux of CO2 and CH4 to the atmosphere. The candidate will have the opportunity to collaborate within an inter-disciplinary team of scientists / engineers at various universities and research laboratories.
Interested applicants should submit a CV, a cover letter describing their research interests, and names of three references to Dr. Kuldeep Prasad (firstname.lastname@example.org) or Dr. Israel Lopez-Coto (email@example.com). We are accepting applications from US Citizens (post-doctoral position) as well as from foreign nationals (guest researcher position). Review of applications will begin immediately and continue until the position is filled. Appointment will be made initially for one year, with possibility of extension for additional years.
Position Qualifications: The applicant should have an advanced degree in Statistics, Geostatistics or related discipline. Experience with geospatial data is required as well as extensive programming experience. Familiarity with Unix/Linux environment is strong plus.
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