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USA: Post Doctoral Position in Linear Solver Techniques, University of California, Davis


Post Doctoral Position in Linear Solver Techniques, University of California, Davis, USA

Postdoctoral position in Linear Solver Techniques for Integrated Water Flow Model Application at University of California, Davis

A postdoctoral position is available immediately in developing and implementing reliable and efficient large-scale linear system solvers for an integrated water flow model (IWFM) application The candidates’ responsibilities involve review the linear system solutions methods, develop improved linear system solvers for IWFM application. Particular interest will be in iterative Krylov methods and their high performance implementation on multi-core and parallel computers. Experience in large-scale matrix computations and parallel computing would be desirable. The candidate is expected to closely work with a group of computational scientists at UC Davis and Department of Water Resources, State of California.

The initial appointment is for one year, and the renewal of the appointment in the following years is contingent upon excellent performance and the availability of funds. A competitive salary based on applicant qualifications and experience will be offered.

The position is available immediately and will be filled as soon as a suitable candidate is identified. The candidate should have received (or be about to receive) a doctoral degree computer science, computational mathematics, or computational engineering. Applicants should send a vita, bibliography with relevant reprints, and a brief description of research experience and interests to:

Professor Zhaojun Bai
Department of Computer Science
University of California
Davis, CA 95616
U.S.A.
email: bai[ at ]cs.ucdavis.edu
URL: http://www.cs.ucdavis.edu/~bai

Applicants should also arrange for two letters of recommendation to be sent to the same address.

UC Davis is an equal opportunity/affirmative action employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.

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