postdoctoral research position in computational ice sheet modeling at Oak Ridge National Laboratory

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postdoctoral research position in computational ice sheet modeling at Oak Ridge National Laboratory

sprice

Job Posting Title:
Postdoctoral Research Associate in Computational Glaciology NB50338503

Posted Date
12/06/2012

End Posting Date
01/31/2013

Purpose
The Computer Science and Mathematics Division in the Computing and Computational Sciences Directorate and the Climate Change Science Institute(http://climatechangescience.ornl.gov/) at the Oak Ridge National Laboratory (ORNL) seeks to hire a Postdoctoral Research Associate in Computational Glaciology.

Major Duties/Responsibilities
The successful candidate will work with a highly diverse team of ice sheet model developers along with climate, computational, and computer scientists at ORNL, other DOE Labs, NCAR, and collaborating universities to develop a community-wide verification and validation framework that will be designed to enable robust ice sheet model development and analysis. The resulting software will quantitatively assess a suite of continental ice sheet models with a range of complexity and will be made available to the community through an Open Source environment.

The qualified candidate will:
• Design and develop new tools for analysis and integration of current and new in-situ and remotely-sensed observational data and model results.
• Explore new methods and analysis techniques for identifying potential model issues and biases.
• Contribute to ongoing efforts in ice sheet model optimization, initialization, and uncertainty quantification. Incorporation of new and upcoming observational datasets will be a center-point of this effort and will require data assessment and interpolation.
• The candidate will conduct research and report results in open literature journals, technical reports, and at relevant conferences.

Qualifications Required:
• A Ph.D. in an Earth or environmental science (preferably glaciology), computer science, or applied mathematics with a focus on numerical methods or optimization is required.
• Excellent interpersonal skills are necessary for working within a highly diverse team, as well as strong oral and written communications skills, good organizational skills, and a high degree of personal motivation. 

Preferred Qualifications:
• Experience with large-scale geophysical model development and analysis and/or a background in working with large-scale glaciological/geophysical data sets is strongly desired.
• Proven analytical skills using R and/or Python, and experience with large-scale data analytics are desired.
• Experience with standard scientific programming languages (C/C++, Fortran), parallel programming and algorithm development is also desired.

Applicants cannot have received the most recent degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment. Certain exceptions may be considered. This position is a temporary, full-time assignment for 24 months. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word(.doc, .docx), Excel(.xls, .xlsx), PowerPoint(.ppt, .pptx), Adobe(.pdf), Rich Text Format(.rtf), HTML(.htm, .hmtl) and text files(.txt) up to 2MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email [hidden email]. ORNL is an E-Verify Employer. If you would like to know more about E-Verify, click on the following link: http://jobs.ornl.gov/eVerify.shtml. UT--Battelle is recognized by our employees and the community as an inclusive environment where diversity is valued and individuals and teams are inspired to contribute fully to the organization's success. ORNL is an equal opportunity employer.

Please feel free to contact Kate Evans ([hidden email]) and/or Steve Price ([hidden email]) if you have questions regarding this position.




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