Stellenangebot

2 PhD positions in Dictionary Learning at the University of Innsbruck, AT.

For the FWF-START-project ’Optimisation Principles, Models & Algorithms for Dictionary Learning’ we are looking for two PhD-candidates, who are interested in doing research at the Department of Mathematics of the University of Innsbruck, Austria.

Research:
Our research is located at the intersection of machine learning, signal processing and mathematics. In particular we are interested in the learning of representation systems (dictionaries) providing compact (sparse) descriptions for high-dimensional data classes from a theoretical and algorithmic point of view and in applying these dictionaries to data processing and analysis tasks. Our main tools come from sparse approximation, stochastics (measure concentration), harmonic analysis and optimisation. More information can be found at https://www.uibk.ac.at/mathematik/personal/schnass/start/.

Environment:
The project is hosted by the Department of Mathematics of the University of Innsbruck in the heart of the alps. On an international level it is well integrated into the machine learning, compressed sensing/sparse approximation and harmonic analysis communities and there are ongoing cooperations with groups in Rennes (FR), Genova (IT), Oslo (NO) and Vienna (AT). Working language is English but (readiness to acquire) some German skills will be useful for every day life in Innsbruck.

Offer:
We offer a research position of up to 4 years, salary about 29.500 Euro/year gross on a 30h/week basis. The starting date for the position is at earliest convenience, ideally before May 31, 2019.

Qualifications:
Interested candidates with a (nearly completed) master’s degree in mathematics or a related field, a strong background in numerical linear algebra, stochastics or harmonic analysis as well as programming experience in Matlab (Python/C/C++) are invited to apply, by electronically submitting in pdf format

- a scientific cv,
- copies of university transcripts (BSc and MSc) and
- a short motivation letter including contact details of two referees

to karin.schnass@uibk.ac.at. Processing of applications is on the fly and all complete applications will be fully considered until the positions are filled. Concrete questions concerning the positions as well as the application material should be mailed to karin.schnass@uibk.ac.at.

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