Emang Blog

Ph.D. Position at Aalborg University, Denmark

Posted on: April 14, 2008

Center for Data-intensive Systems (Daisy) at Aalborg University
<http://daisy.aau.dk/> has an opening for a fully funded 3-year Ph.D.
position in a new research project called “Effective Shedding and
Efficient Processing of Massive Sensor Update Loads.”

Project description:

Emerging application areas of computing technologies exist that involve the monitoring of continuous variables. One such area concerns transportation. Such monitoring yields massive update loads that existing systems are unable to contend with. The project proposes a two-pronged approach to enabling the support of such application areas. It explores techniques for selective shedding of updates, and it will develop data structures and algorithms that increase the
numbers of updates per time unit that database systems are able to accommodate.

Qualifications needed:

An M.Sc. in Computer Science or a closely related field from a recognized institution, with excellent results. Potential candidates should have a strong background in databases, algorithms and data
structures. Applicants with experience in implementing algorithms and data structures will be preferred. Proficiency in English, orally as well as in writing, is essential.

Further information:

The monthly salary is approximately DKK 24.000.

The procedure for application is described in the position
announcement: <http://stillinger.aau.dk/vis.php?nr=4063>

Application deadline: May 5, 2008.

Questions should be directed to: Associate Professor Simonas Saltenis
(simas@cs.aau.dk) or Professor Christian S. Jensen (csj@cs.aau.dk).

About Daisy:

Founded in Fall 2006, Center for Data-intensive Systems (Daisy) is a
research center at Aalborg University, Denmark. Daisy conducts
leading-edge research within key areas of data-intensive systems.
Much of the center’s research relates to data warehousing and to
temporal, spatial, and spatio-temporal databases. Areas of research
within these topics include data models, query languages, query
processing, indexing, and applications.

sumber: http://www.cs.wisc.edu/dbworld/messages/2008-04/1208076656.html

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