available. The position is under the supervision of Professor Kasper
Green Larsen, Aarhus University, Denmark. The focus of the research
project is on understanding and improving the performance of classic
learning algorithms, in particular Boosting and Bagging, both in terms
of speed and generalization capabilities. The project also allows
pursuing other ideas and directions within theory of machine learning.
The research is carried out in collaboration with
Kasper as well as Ph.D. students and post docs in the group. The
candidate is expected to have strong mathematical background and have
an interest in theory. Both a Computer Science and a Mathematics
background is welcome. It is not expected that the student will do implementations, however, if the
student wishes to do so, and it is natural in the project, then
implementation work is most welcome.
The daily work will be carried out in the Algorithms, Data Structures
and Foundations of Machine Learning group at Computer Science, Aarhus
University, Denmark. The group is headed by Kasper Green Larsen and
also includes faculty members Professor Gerth S. Brodal, Associate
Professor Peyman Afshani and Associate Professor Chris
Schwiegelshohn as well as Ph.D. students and post docs. The group also
closely collaborates with the Game Theory and Complexity group
consisting of faculty members Prof. Iannis Caragiannis and Assoc. Prof. Kristoffer Arnsfelt
Hansen. The project is funded by an ERC Consolidator Grant by the
European Research Council.
The position is available from August 1st, 2024.
The application deadline for the position is May 1st,
2024. Applicants should apply online via our recruitment system.
The application must be submitted through the online system at:
Questions regarding the position should be directed to
Professor Kasper Green Larsen (larsen@cs.au.dk<mailto:larsen@cs.au.dk>)
The place of work will be Dept. of Computer Science, Aarhus
University, Aabogade 34, DK8200 Aarhus, Denmark.
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