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Academic

From: Marcos Sepulveda
Date: 15 Jun 2009
Subject: Faculty Position In Data Mining at PUC, Chile

Topic: Data Mining in very large Astronomical databases
Position type: tenure-track position
Deadline: August 31st, 2009

Email Submissions: faculty-positions@ing.puc.cl

The School of Engineering at Pontificia Universidad Cat�lica de Chile offers a position in the Computer Science Department at the Assistant Professor level in the area of the Data Mining, or closely related disciplines, available immediately. The requirements are a Ph.D. degree (at the moment of assuming the position) and a demonstrated ability and commitment to excellence in independent research and teaching in the area of Mining Large Databases.

The successful candidate is expected to join a research group in machine intelligence and to participate in a new joint research center between the Faculty of Engineering and the Department of Astronomy and Astrophysics of the Faculty of Physics. This research center counts with state of the art computer clusters, able to match the increasing processing needs of current very large astronomical databases. This center has also a direct access to huge datasets coming from some of the most powerful telescopes in the world that are located in the north of Chile, and also from the upcoming Large Synoptic Survey Telescope (LSST).

While researchers in different related areas, such as machine learning, database, and astrophysics, are encouraged to apply, preference will be given to scientists working in areas related to data mining in large databases and analysis and interpretation of data from very large astronomical databases. Teaching duties are in computer science, at the undergraduate and graduate levels. Being able to teach in Spanish is desirable in the middle term, but is not a requirement to apply. Further information can be obtained at http://dcc.puc.cl and http://www.astro.puc.cl or from Dr. Marcos Sepulveda (marcos.sepulveda@ing.puc.cl).

Application instructions are described in http://www.ing.puc.cl/data-mining-position and should be submitted before August 31st 2009. Late applications could be considered until the position is filled.

_Contact_:
Email Submissions: vacantes-academicas@ing.puc.cl

Email Inquiries: Marcos Sepulveda, Head of the Department, marcos.sepulveda@ing.puc.cl


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