Fully-funded PhD and postdoc positions in Big Data --- Science, Analytics & Management
Fully-funded PhD and postdoc positions in Big Data --- Science, Analytics & Management Care to do fundamental, cutting-edge system-oriented Big Data research in a world-renowned and pioneering data management research group? Care to enjoy life in a world-famous, very lively but sufficiently cozy European capital that dubs as a intercontinental hub for both air-travel and internet traffic? Then consider joining us, the Database Architectures research group, aka. "The MonetDB Team", at Centrum Wiskunde & Informatica (CWI), the Dutch national research institute for mathematics and computer science, in Amsterdam, The Netherlands! We are looking for excellent candidates, preferably with a strong systems-oriented computer science background, for PhD student and post-doctoral research positions on various aspects of Big Data --- Science, Analytics & Management. For detailed descriptions of the open positions, please consult the following links: http://www.cwi.nl/jobs/phd-student-subject-of-data-management-big-data-analy... http://www.cwi.nl/jobs/postdoc-subject-of-array-based-data-management-techno... http://www.cwi.nl/jobs/postdoc-subject-of-spatio-temporal-andor-distributed-... CWI's Database Architectures research group fulfills a well recognised leading role in system-oriented database research, both nationally and internationally. The group's research is focused on bridging the gap between database architectures and demanding applications areas, such as large-scale data analytics (Big Data), data intensive scientific discovery (Data Science), and semantic web. The group is particularly known for their pioneering work on hardware-conscious database technology, with a strong focus on data analytics, and for disseminating their research via their open-source columnar analytical database management system MonetDB, which is widely used in academia and business. The group also has a track record of founding successful start-up companies (DataDistilleries, VectorWise, MonetDB). CWI’s Database Architectures group and its members have been decorated with several prestigious awards, among others - 2014 ACM SIGMOD Edgar F. Codd Innovations Award (M. Kersten) - 2013 Humboldt-Forschung-Preis / Humboldt-Research-Award (P. Boncz) - 2011 ERCIM Cor Baayen Award (S. Idreos) - 2011 VLDB Challenges & Visions Track Best Paper Award (M. Kersten, S. Idreos, S. Manegold, E. Liarou) - 2011 ACM SIGMOD Jim Gray Doctoral Dissertation Award (S. Idreos) - 2009 VLDB 10-year Best Paper Award (P. Boncz, S. Manegold, M. Kersten) - 2009 ACM SIGMOD Best Paper Runner Up (M. Ivanova, M. Kersten, N. Nes, R. Gonçalves) The group has a long track record of publishing their fundamental research in leading international database journals (ACM TODS, IEEE TKDE, VLDB Journal), conferences (ACM SIGMOD, VLDB, IEEE ICDE, EDBT) as well as co-located workshops, and successfully participating in EU projects (e.g., RETHINKbig, LEO, EMILI, TELEIOS, LOD2, LDBC, PlanetData, and most notably the Human Brain Project, one of the two EU FET flagship projects) and large national programs (MultimendiaN, COMMIT). The groups good contacts with leading database research groups, both academic and industrial, provide ample opportunities for collaborations and internships. Funded by a Dutch national grant, CWI's Database Architectures research group has been building a large database machine, the "SciLens cluster", in order to assess their technology empirically on large data sets. Currently, the SciLens cluster consists of 272 nodes (organized in 3 tiers with different characteristics) and provides a total of 2 PB of hard disk storage, 64 TB flash storage, 15 TB RAM, 2688 CPU cores, 12 high-end GPU- and accelerator-cards, and high-bandwidth (40 Gb/s) Infiniband network. http://www.cwi.nl/research-groups/Database-Architectures http://www.cwi.nl/ http://www.monetdb.org/ http://homepages.cwi.nl/~manegold/ http://homepages.cwi.nl/~mk/ -- | Stefan.Manegold@CWI.nl | DB Architectures (DA) | | www.CWI.nl/~manegold/ | Science Park 123 (L321) | | +31 (0)20 592-4212 | 1098 XG Amsterdam (NL) |
participants (1)
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Stefan Manegold