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\centerline{\LARGE RISC-Linz} \vskip 0.2cm \centerline{\LARGE
Ph.D. Studies in {\em Symbolic Computation}} \vskip 0.2cm
\centerline{\LARGE New Round (Oct. 2003)}
\vskip .6cm {\large {\em Symbolic computation} is a young and
promising field in computer science and mathematics covering all
aspects of algorithmic solutions to problems dealing with symbolic
(i.e.~non-numeric) objects. Important subareas of symbolic
computation are: computer algebra, computational geometry,
automated theorem proving, algorithmic combinatorics, parallel
computation and software-technological issues. {\em Symbolic
computation} forms the foundation for many high-tech application
areas like CAD/CAM, robotics, geometric modeling, expert systems,
etc. RISC-Linz, founded by Professor Bruno Buchberger, is
committed to excellence in graduate education and research;
for more
information see http://www.risc.uni-linz.ac.at. For qualified
students interested in the area of {\em symbolic computation} we
offer the possibility of a Ph.D. study (3 -- 4 years) at RISC-Linz
starting in October 2003. For top applicants a limited number of
Ph.D. fellowships is available.
\medskip
Doctoral studies at RISC-Linz offer many unique features:
\begin{itemize}
\item a research oriented working environment with modern computer equipment
and access to the latest literature;
\item experienced academic researchers, teachers and many international
visiting researchers;
\item labs in {\em computer algebra, automated theorem proving (``Theorema''), computational
geometry, algorithmic combinatorics, parallel computation,
software technology, and symbolic computation in education;}
\item location in a beautiful medieval castle 25 km from Linz.
\end{itemize}
Required is a master's (diploma) degree, preferably in mathematics
or computer science. To apply for studies at RISC-Linz see the
"Requirements for Application 2003/04" specified at
http://www.risc.uni-linz.ac.at/education/curriculum/phd/
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