|Post Doctoral Fellow (E)|
Below you will find the details for the position including any supplementary documentation and questions you should review before applying to the opening. To apply to the position, please click the Apply to this Job link/button.
Please see Special Instructions for more details.Start Date: As soon as possible, preferably before Jan 1, 2013.
|Job Title||Post Doctoral Fellow (E)|
|Working Title||Post Doctoral Fellow (E)|
|Standard Hours per Week||40|
|Work Schedule Summary||
8am – 5pm (flexible)
|Department||00810 - Scient Comp & Imag Instit-Oper|
|Type of Recruitment||External Posting|
|Pay Rate Range||$45,000 - $65,000|
NOTE: May close at anytime.
|Open Until Filled
NOTE: May close at anytime.
The Scientific Computing and Imaging (SCI) Institute at the University of Utah invites applications for one post-doctoral researcher for interdisciplinary work spanning applied mathematics, computer science and material sciences. The successful candidate will perform research in the application of uncertainty quantification (UQ) techniques to coarse-graining algorithms developed to accelerate molecular dynamics simulations and other particle-based methods, and will work closely with SCI Institute researchers and external collaborators to integrate research into SCI Institute software applications and apply this software to compelling problems in science and engineering.
About Uintah (www.uintah.utah.edu). The Uintah Computational Framework was originally created by the Center for the Simulation of Accidental Fires and Explosions (C-SAFE, www.csafe.utah.edu). While the C-SAFE project recently ended, other projects are now using the Uintah software. Uintah is a scalable, highly parallel computational simulation system designed to simulate complex physical phenomena including reacting flows, material properties, multi-material interactions, and atomic level chemistry.
This position has two main responsibilities:
The SCI Institute is seeking a highly talented and committed individual with a demonstrated ability to work well with minimal supervision in a multi-disciplinary research environment. Backgrounds in the engineering sciences, applied mathematics, physics and computational sciences will be considered. Individuals comfortable with probability theory, multiscale theory, and statistical mechanics preferred. The candidate selected will contribute to the Institute’s world-class research and software development efforts and have the opportunity to develop their research, publication, and presentation skills under mentorship from established faculty investigators. Please contact Mike Kirby (
) for further information.
This position may require the successful completion of a criminal background check and/or drug screen.
|Special Instructions Summary||
Start Date: As soon as possible.
Required fields are indicated with an asterisk (*).