available. The post docs are 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
if the candidates have preferences or ideas from prior work.
The research is carried out in collaboration with
Kasper as well as Ph.D. students and post docs in the group. The
candidates are expected to have a strong theoretical background and to
be able to carry out proofs independently or with minor guidance. It is not
expected that the candidates will do implementations, however, if the
candidates wishes to do so, and it is natural in the project, then
implementation work is most welcome. In addition to research, there
may be minor teaching activities, such as presenting at seminars in
the research group or guiding Ph.D. students in joint projects.
Candidates must have expertise in theory of machine learning and/or
theoretical computer science. Publications at top venues such as
COLT/NeurIPS/ICML or STOC/FOCS/SODA are much appreciated.
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 positions are available from August 1st, 2024 (a later
start date may be negotiated). The positions are for 2 years.
The application deadline for the position is April 1st,
2024. Applicants should apply online via our recruitment system by
sending a letter of interest and a CV, as well as indicate at least
two names of references for recommendations.
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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