Saturday, February 25, 2012

Postdoc positions available in the area of Uncertainty Quantification at ICES, UT Austin.

A number of postdoc positions involving

(1) uncertainty quantification and stochastic algorithms,

(2) numerical optimization (constrained, integer programming),
(3) numerical analysis (FEM, Newton's method, preconditioners),
(4) software engineering (C++, FORTRAN, object oriented design,
version control, Linux),
(5) high performance computing (MPI), and
(6) multiphysics modeling (various physical models, e.g. for fluids,
chemical reactions, turbulence),

are available at The Institute for Computational Engineering and

Sciences (ICES), at The University of Texas at Austin. ICES
(www.ices.utexas.edu) provides a worldwide unique environment for
truly interdisciplinary research.

There is opportunity for theoretical work, but the emphasis is on

practical research, using (and improving) mathematical algorithms,
parallel computing and complex software libraries to tackle very
challenging scientific and engineering problems, many of them in
collaboration with US National Laboratories and other academic
institutes, under the sponsor of various US agencies, such as DOE, NSF
and AFOSR. US Citizenship is not required.

We are looking for candidates who have a strong mathematical

background (any combination of (1), (2), and (3), but preferably (1)),
demonstrated expertise on (4), and at least familiarity with (5). Some
background on (6) is desirable, but not mandatory. We are also looking
for candidates who are self-driven, have clear thinking, have good
writing skills, communicate themselves well, know how to breakdown
complex problems into smaller ones, and enjoy interacting with
multidisciplinary teams of mathematicians, engineers and computer
scientists.

Some positions are available immediately, while others will become

available throughout the year. Please email your application,
including a CV, to either

Dr. Ernesto Esteves Prudencio (
prudenci@ices.utexas.edu ), or
Professor Omar Ghattas ( omar@ices.utexas.edu ), or
Professor Robert Moser ( rmoser@ices.utexas.edu ),

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