PhD Student Numerical Linear Algebra Scientific Computing

December 14, 2007

The Seminar for Applied Mathematics of ETH Zuerich has an open position to be filled with a PhD student pursuing research in numerical linear algebra and scientific computing. Available thesis topics include the analysis and parallelization of numerical algorithms for solving large-scale dense eigenvalue problems, and the development of novel eigenvalue solvers for matrices having hierarchical or tensor product structure.

The position is temporary and limited to 3-4 years after a three month period of probation. Their holders will be regular ETH research staff. The position will involve teaching of tutorial lectures, supervision of undergraduate students, and grading of examinations equivalent to a workload of about 10h/week.

Candidates must have a master or diploma degree in mathematics or computer science. They should have a strong background in numerical analysis and linear algebra, in particular the theory and numerical treatment of eigenvalue problems. Experience in computer implementation of numerical algorithms and interest in parallel computing is necessary. ETH Zuerich specifically encourages female candidates to apply.

Knowledge of German is not required, but the candidates must possess good communication skills and should be fluent in English, both oral and in writing.

Prof. Dr. Daniel Kressner
Seminar für angewandte Mathematik
ETH Zürich
8092 Zürich
Email kressner@math.ethz.ch
http://www.sam.math.ethz.ch/

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