extended to November 15 (due to problems posting on the theorynt list).
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Center for Massive Data Algoithmics (MADALGO), is a basic research center
funded by the Danish National Research Foundation. The center is located at
the Department of Computer Science, Aarhus University, Denmark, but also
includes researchers at CSAIL, Massachusetts Institute of Technology, the
Max Planck Institute for Informatics and at Frankfurt University. The center
covers all areas of the design, analysis and implementation of algorithms
and data structures for processing massive data (interpreted broadly to
cover computations where data is large compared to the computational
resources), but initial focus is mainly be on I/O-efficient, cache-oblivious
and streaming algorithms. See www.madalgo.au.dk for more information.
Starting February 1 or later several positions are available at MADALGO
under the supervision of Professor Lars Arge (www.madalgo.au.dk/~large) and
Associate Professor Gerth S. Brodal (www.madalgo.au.dk/~gerth):
Several PhD student positions are available. The positions are administered
through the Aarhus Graduate School of Science
(science.au.dk/en/studies/phd-studies/) and include full tuition waiver and
a very competitive scholarship. Applications are welcomed from students with
at least three years of full-time study by February of 2010. Students with a
strong background in the design and analysis of algorithms will be
preferred. Students with background in Geographic Information Systems (GIS)
are also very welcome to apply.
Several MADALGO and interdisciplinary Post Doc positions are also available.
MADALGO Postdoc positions at the level of Research Assistant Professor of
Computer Science are initially for one year, but they can be extended by
mutual consent. MADALGO welcomes Postdoctoral researchers with clearly
demonstrated experience and skills in the design and analysis of algorithms
and data structures. Researchers with experience with I/O-efficient,
cache-oblivious or streaming algorithms, as well as with implementation of
such algorithms (algorithm engineering experience), are preferred. The
responsibilities of MADALGO Postdocs include work on algorithms for massive
dataset problems in collaboration with center researchers, along with modest
teaching responsibilities.
An Interdisciplinary Postdoc position is also available. The
responsibilities of the Postdoc will include work on geospatial problems on
the boundary between computer science and biology, more specifically between
algorithms and ecology/biodiversity. The Post Doc should focus on problems
in relation to computationally efficient use of modern detailed (and thus
massive) topographic data in various global-change-relevant modeling
applications. These problems include the computation of fine-resolution
topography-derived variables on a global scale, as well as local- and
global-scale flooding scenario modeling and impact assessment. Modest
teaching responsibilities may also be required. The Postdoc will be
affiliated with MADALGO under the supervision of computer science Professor
Lars Arge, but will also work extensively with researchers in the
Ecoinfomatics & Biodiversity group at the Department of Biological Sciences
under the supervision of Professor Jens-Christian Svenning. Applications are
welcomed from computer science researchers with clearly demonstrated skills
in the design, analysis and implementation of algorithms (preferably also
with I/O-efficient algorithms), as well as from geoinformatics or biology
researchers with clearly demonstrated skills in ecoinformatics, GIS, and
programming. Researchers with interdisciplinary research experience will be
preferred.
Application deadline for for all current positions is November 1, 2010.
Applicants for Postdoc positions should apply by uploading a letter of
interest and a CV, as well as indicate at least two names of references for
recommendations, using the application form available at www.madalgo.au.dk.
Applications will be considered until the positions are filled.
Applicants for the PhD student positions should apply using the Aarhus
Graduate School of Science application system also accessible
from www.madalgo.au.dk.
For further information contact Center Director, Professor Lars Arge at
large@madalgo.au.dk.
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