|From||"Roger Brugge" <email@example.com>|
|Date||Tue, 25 Oct 2011 12:09:35 +0000|
Applications are sought for a 2-year postdoctoral position (with possible extension) to work on large scale data assimilation problems using nonlinear Bayesian filtering. The position is part of a joint research project between Prof. Ibrahim Hoteit at the Applied Math and Computational Science program at King Abdullah University of Science and Technology (KAUST), and Drs Chris Farmer and Irene Moroz at the Oxford Centre for Collaborative Applied Mathematics (OCCAM) at the University of Oxford. The postdoc is expected to spend about 75% of her/his time at KAUST and 25% at OCCAM, but this can be flexible. The postdoc will work with already established teams in data assimilation on proposing and implementing new nonlinear Bayesian filtering methodologies for large scale estimation and management of uncertainties problems Qualified applicants should possess a Ph.D. in Applied Mathematics and Computational sciences, or a closely related field. We are looking for candidates with experience in reservoir modeling and/or ensemble and nonlinear Kalman filtering. Familiarity with scientific programming in Fortran and Matlab, high performance computing, and with good publishing record will be given preference. The compensation package includes a competitive salary; housing at KAUST and Oxford; health care (medical and dental); and 4 weeks annual vacation. Travel expenses between KAUST and Oxford will be also covered. To apply, please send a curriculum vitae and a letter of interest with the names and contact information of at least two references to Dr. Ibrahim Hoteit,firstname.lastname@example.org<mailto:email@example.com>
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