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Job Summary |
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Job Description |
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The University of Alaska Fairbanks Institute of Northern Engineering (UAF-INE) invites applications for a postdoctoral fellowship in lunar science and exploration beginning in spring/summer 2010.
The successful candidate will join a team of scientists and engineers working to understand lunar regolith properties and how to excavate regolith to recover resources and conduct civil engineering projects. The team will conduct experiments to develop and validate a physical model of lunar regolilth geotechnical behavior and machine/regolith interactions associated with excavation and mobility problems. The team is part of the NASA Lunar Science Institute sponsored, Johns Hopkins led, project "Scientific and exploration potential of the lunar poles".
The successful applicant will have a Ph.D. in physics, geophysics, engineering, planetary sciences, or related field, good communication skills, ability to work as part of a team, and strong computational and numerical modeling skills. Knowledge of the discrete element method and computational experience in both desktop and large-scale parallel computing environments is desirable. The Arctic Regional Supercomputing Center (ARSC) collocated at the UAF is available to the project. The work involves collaborations with, and travel to, team home institutions to assist with experiments and to use their results to build and validate machine/regolith interaction models. The project offers the opportunity to be involved in developing tools and technology that may facilitate future lunar science and exploration missions.
The position is awarded for three years. Information about the project can be found at http://www.jhuapl.edulnewscenter/pressreleases/2009/090 121.asp. Information about the UAF-INE can be found at www.alaska.eduluaflcem/ine/.
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International Candidates Will Be Considered.
Additional Salary Information: Salary commensurate with experience.
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Requirements |
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The successful applicant will have a Ph.D. in physics, geophysics, engineering, planetary sciences, or related field, good communication skills, ability to work as part of a team, and strong computational and numerical modeling skills. Knowledge of the discrete element method and computational experience in both desktop and large-scale parallel computing environments is desirable. The work involves collaborations with, and travel to, team home institutions to assist with experiments and to use their results to build and validate machine/regolith interaction models.PhD degree (already received, or having completed all requirements and waiting graduation) in physics, geophysics, engineering, planetary sciences, or related field. Knowledge of the discrete element method and computational experience in both desktop and large-scale parallel computing environments is desirable.
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