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Postdoctoral position in Numerical Analysis Brown University


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One or possibly two positions as a postdoctoral researcher in the Division of Applied Mathematics at Brown University will be open from late summer/fall 2010.

The postdoctoral researcher will be involved in ongoing efforts to develop certified reduced basis methods as a way to reduce the computational complexity of many-query applications like real-time control, optimization, uncertainty quantification etc for wave dominated problems. The research involves a combination of applied analysis for differential and/or integral equations, the development of a posteriori theory, and the implementation of the methods on 2D/3D nontrivial applications.

The position(s) are initially available for one year with the possibility of extension to two or possibly three years, pending availability of external funding. There are no teaching requirements for the position but teaching can be arranged if desired.

The candidate is expected to have or receive shortly a PhD in applied and computational mathematics with a strong background in applied analysis for the numerical solution of partial differential equations and/or integral equations. The ideal applicant will have knowledge and experience with a posteriori error analysis and a strong background in the implementation of advanced algorithms and demonstrated programming skills in C/C++. A background in electromagnetics, wave problems, and parallel computing is desired but required.

Interested applicants can get further information about the position by contacting Professor Jan S. Hesthaven (Jan.Hesthaven@Brown.edu).

Electronic applications (please use postscript, PDF, or Word formats) including curriculum vitae, list of publications, a statement of research interest, and names of 3 references with e-mail, should be sent to the email given above before April 2, 2010 to receive full consideration. However, the search will be ongoing until the position is filled.

Brown University is an equal opportunity employer and encourages women and minorities to apply.

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