[Opt-Net] PostDoc position, Inverse Problems and Mathematical Imaging, University of Graz

[Opt-Net]

University of Graz - PostDoc position within the FWF funded project
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Regularization Graphs for Variational Imaging
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Job announcement:
https://static.uni-graz.at/fileadmin/nawi-institute/Mathematik/files/Jobs/Ausschreibungstex_Bredies.pdf
Application deadline: July 31st, 2016
Contact: Prof. Kristian Bredies, kristian.bredies at uni-graz.at
Starting date: As soon as possible (contract duration: 3 years)
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About the project: The project aims at developing a unified comprehensive
analytical and numerical framework for regularization functionals in 
variational
imaging, centered around the concept of regularization graphs. Its goal 
is to
provide a common and rigorous mathematical basis for recent approaches
as well as to pave way for novel developments in that area. A main part of
the project is also devoted to carrying this concept into application, 
making
it accessible for non-specialists and practitioners. For this purpose, a 
unified
numerical optimization framework in form of a freely available and easily
extendible software package will be developed.
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Professional qualifications: Doctoral degree in a mathematical branch of
study. Solid knowledge in applied mathematics, with experience in one or
more of the following topics: Variational image processing, continuous
optimization, convex analysis, functional analysis. Programming skills
and experience, e.g., in Python, MATLAB or C++. A research background
covering different regularization approaches in imaging and applications
in the context of inverse problems is very welcome.