Center for Data-Intensive Systems, Daisy (http://daisy.aau.dk/), has a fully funded Ph.D. position available and is looking for a talented Ph.D. candidate.
Project topic:
Foundations for efficient, robust, and scalable data management for the mobile Internet
Description:
Many emerging services on the rapidly growing mobile Internet will rely on solid foundations for the management of very large volumes of dynamic spatio-temporal data. The research project aims to explore the data-dependent behavior of algorithms and data structures for spatio-temporal data, thus enabling more efficient, robust, and scalable data management. The PhD student will be trained in topics within computer science and spatial statistics. The project is a collaboration between the Department of Computer Science
and the Department of Mathematical Sciences. The Ph.D. candidate will work with co-advisors from both departments. Qualification requirements: An M.Sc. in computer science, mathematics, statistics or a closely related field from a recognized institution, with excellent results. Applicants with strong mathematical background as well as experience in implementing algorithms and data structures will be preferred. Very good communication skills in English, oral as well as written, are required.
With more than 20 members, Daisy provides a very active research environment that is well integrated into the global database research community. Aalborg is the center of a beautiful region of Denmark, with nice beaches, unique nature, and clean air. The monthly salary is approximately DKK 25,000 before taxes (EUR 1 approximately equals DKK 7.5), plus pensions contributions.
The application deadline is October 1, 2010. Potential applicants should contact Associate Professor Simonas Saltenis (simas (at) cs.aau.dk) if they have specific questions. Further information about the position and the application procedure can be found at http://kortlink.dk/85v2 (see PhD topic number 1). Please read the material carefully, and follow the indicated application procedure.
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