Pendaftaran Online kali ini menyampaikan informasi tentang Phd/Postdoc Positions at Center for Massive Data Algorithmics (MADALGO), Aarhus University, Denmark sebagai berikut:
Phd/Postdoc Positions at Center for Massive Data Algorithmics (MADALGO), Aarhus University, Denmark
Center for Massive Data Algorithmics (MADALGO) is a basic research center funded by the Danish National Research Foundation. The center is a collaboration between researchers at University of Aarhus in Denmark, Max-Planck-Institute for Informatics and Goethe-University Frankfurt am Main in Germany and Massachusetts Institute of Technology in the US; the center cite is at the University of Aarhus.
MADALGO advertises several postdoctoral and PhD student positions each year, under the supervision of Professor Lars Arge and Associate Professor Gerth S. Brodal at Aarhus University. Positions are advertised in mid fall for a February start and in mid spring for an August start. Currently several PhD and Postdoc positions are available with a August 2011 start.
PhD student positions
PhD student positions are administered through the Aarhus Graduate School of Science 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 August of 2011. 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.
- MADALGO Postdoc positions
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.
- Interdisciplinary Geospatial Informatics Postdoc position
An Interdisciplinary Postdoc position is available. The position is initially for one year, but can be extended by mutual consent. 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 Postdoc 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. 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 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 researchers with clearly demonstrated skills in GIS and programming. Researchers with interdisciplinary research experience will be preferred.
Applicants deadline for postdoc positions is April 15, 2011.
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.
- Applicants for the regular MADALGO Postdoc positions should use this application from, and
- Applicants for the Interdisciplinary Geospatial Informatics position should use this application form.
Applications will be considered until the position is filled.
Applicants deadline for for PhD positions is May 1, 2011.
Applicants for the PhD student positions should apply using the Aarhus Graduate School of Science application system.
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