Theory-based approach) has 2 open positions for PhD students and/or
post-doctoral researchers.
The MiGraNT project aims at developing a sound theoretical understanding of
mining and learning with graphs, and to exploit this theory to construct
effective algorithms for significant real-life applications.
Key features of the methodology include the integration of insights from graph
theory in data mining and learning approaches, the development of efficient
prototype algorithms, and the interdisciplinary collaboration with application
domain experts to validate the practical value of the work,
Experience in one of the research topics of interest is considered an
advantage. These include graph theory, complexity theory, algorithmics,
statistics, random graphs, combinatorial optimisation, enumeration
algorithms, (relational/structured) data mining, social network analysis,
computational geometry, constraint solving..
Candidates should have a master in computer science, statistics or mathematics,
a PhD in data mining, statistics, graph theory, algorithmics or theoretical
computer science, or equivalent. Successful candidates can start between
July 2010 and October 2010 (negotiable). Funding is available for up to 4
years.
The host institution of the MiGraNT project is the K.U.Leuven, Belgium, The
K.U.Leuven has a strong history of machine learning and data mining research,
and offers plenty of opportunities for interactions with researchers of
application domains such as medicine, biology, chemistry and computer networks.
Applications arriving before April 13th will receive full attention.
Details on how to apply can be found on
http://www.cs.kuleuven.be/~janr/MiGraNT/open_positions.html
---------------------------------------------
Jan Ramon
Department of Computerscience K.U.Leuven
Celestijnenlaan 200 A 4.002
3001 Heverlee, Belgium
jan.ramon@cs.kuleuven.be
http://www.cs.kuleuven.be/~janr/
skype: jan_ramon
+32-16-327739 (A 4.002)
+32-16-327552 (Secretary deptcw)
+32-486-968518 (Mobile)
fax: +32-16-327996
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
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