A postdoc position is available in the Data-Intensive Systems group at Aarhus University.
The Data-Intensive Systems group (http://cs.au.dk/research/areas/data-intensive-systems/) is a new and expanding research group in the Department of Computer Science. Since it was founded, in August 2010, the group has established a portfolio of research activities that currently includes 6 externally funded projects.
The department employs some 150 members of staff and has about 1000 students. The department is strong in both theoretical and experimental research, and it it is recognized internationally for its contribution within theory as well as the practice of computing. To encourage a multi-disciplinary attitude to research, no firm dividing lines are drawn between the various subjects, and there is lively interaction among subjects.
Aarhus University has in excess of 40,000 students. Among over 17,000 universities world-wide, it is ranked in the top 100 by several influential rankings. Aarhus is the second-largest city in Denmark and is situated by the sea in East Jutland. Aarhus is a "young" city due to its disproportionally large population of young inhabitants.
The postdoc position is at the level of research assistant professor. Successful applicants must demonstrate an ability to publish their work in top-ranked database or data mining research outlets. Key topics of interest include multidimensional databases, efficient data mining algorithms, (skyline) query processing and indexing.
The responsibilities include research on the above topics in collaboration with other staff and project partners, along with modest teaching and service tasks.
The position is initially for one year, but may be extended to two years based on mutual agreement. The annual salary is approximately EUR 60,000 (inclusive of pension contributions and pre taxes).
Applicants should send a letter of interest, a CV including list of publications, copies of two relevant publications, the names of two references, and the preferred starting date to Associate Professor Ira Assent (at ira@cs.au.dk). Applications will be considered as they are received and until the position is filled.
The Data-Intensive Systems group (http://cs.au.dk/research/areas/data-intensive-systems/) is a new and expanding research group in the Department of Computer Science. Since it was founded, in August 2010, the group has established a portfolio of research activities that currently includes 6 externally funded projects.
The department employs some 150 members of staff and has about 1000 students. The department is strong in both theoretical and experimental research, and it it is recognized internationally for its contribution within theory as well as the practice of computing. To encourage a multi-disciplinary attitude to research, no firm dividing lines are drawn between the various subjects, and there is lively interaction among subjects.
Aarhus University has in excess of 40,000 students. Among over 17,000 universities world-wide, it is ranked in the top 100 by several influential rankings. Aarhus is the second-largest city in Denmark and is situated by the sea in East Jutland. Aarhus is a "young" city due to its disproportionally large population of young inhabitants.
The postdoc position is at the level of research assistant professor. Successful applicants must demonstrate an ability to publish their work in top-ranked database or data mining research outlets. Key topics of interest include multidimensional databases, efficient data mining algorithms, (skyline) query processing and indexing.
The responsibilities include research on the above topics in collaboration with other staff and project partners, along with modest teaching and service tasks.
The position is initially for one year, but may be extended to two years based on mutual agreement. The annual salary is approximately EUR 60,000 (inclusive of pension contributions and pre taxes).
Applicants should send a letter of interest, a CV including list of publications, copies of two relevant publications, the names of two references, and the preferred starting date to Associate Professor Ira Assent (at ira@cs.au.dk). Applications will be considered as they are received and until the position is filled.
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