Tuesday, July 14, 2015

[DMANET] PhD position in Computational Topology and Geometry at TU Graz

The Institute of Geometry at Graz University of Technology offers a PhD
position in the newly established research area "Computational Topology
and Geometry". The focus lies on the emerging field of persistent
homology, a theory that turns homological algebra robust to noise and
has paved the way to the topological analysis of real-world data.
Besides theoretical aspects, the group works on algorithmic tools in the
context of this data analysis techniques, on the connections to low- and
high-dimensional computational geometry, and on applications of
topological data analysis.

We offer a 4-year university assistant position (30 h/week) with a net
salary of approximately 20,000 EUR per year. The position is available
starting October 1 2015, and should be filled as soon as possible. The
position is integrated into the field of expertise "Information,
Communication, and Computing" at TU Graz, providing a stimulating
interdisciplinary research environment. The graduate school "Discrete
Mathematics" additionally contributes to the quality of TU Graz as a
research center.

We are looking for outstanding students with a master's degree in
Mathematics/Computer Science or a closely related field. Knowledge in at
least one of the fields computational geometry, computational topology,
or algebraic topology, and programming skills, in particular in C++, are
desirable.

Applications should include:
* a letter of application and motivation
* a detailed curriculum vitae
* a reference letter (for instance, by the Master thesis supervisor)
* email addresses of additional references (if applicable)
* a preferred starting date

and should be sent until August 23 2015 using the reference number
5070/15/007 to (email is enough):

Technische Universität Graz
Dekan der Fakultät für Mathematik, Physik und Geodäsie
Univ.-Prof. Dipl.-Phys. Dr.rer.nat. Wolfgang Ernst
Petersgasse 16
A-8010 Graz
bewerbungen.tmtph@tugraz.at

For further questions, please contact Michael Kerber
(mkerber@mpi-inf.mpg.de).

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