Mission Statement

The core research topics of the Computational Science Center are Inverse Problems and Image Analysis. The common thread among these areas is a canonical problem of recovery of an object (function or image) from partial or indirect information. Particular research topics are:


Saving lives with mathematics

“Die Presse” printed an an interview with Otmar Scherzer on combining PAT and OCT to detect tumors. (“innovationorigins” published an english version of similar content).

This research is being done within the SFB Tomography Across the Scales.
Making cancer visible early
PhD position in the project "Novel Error Measures and Source Conditions of Regularization Methods"

We are offering a Doctorate Research Position within the FWF-funded International Project Novel Error Measure and Source Conditions of Regularization Methods.

detailed description.

PhD position in the project "Weighted X-ray transform and applications"

RICAM, Linz, is offering a PhD Student position in the field of Inverse Problems / Tomography.

detailed description

Vienna Night Run

The CSC team participiated at the Vienna Night Run. Despite a sudden cold snap everyone finished!

Reconstruction Methods for Inverse Problems (19w5092)

at Banff, Alberta from Sunday, June 23 to Friday June 28, 2019


  • Elena Beretta (NYU Abu Dhabi & Politecnico di Milano)
  • Uri Ascher (University of British Columbia)
  • Otmar Scherzer (University of Vienna)
  • Luminita Vese (University of California, Los Angeles)


Inverse problems require to determine the cause from a set of indirect observations. Such problems appear in medical imaging, non destructive testing of materials, computerized tomography, source reconstructions in acoustics, computer vision and geophysics, to mention but a few. The 21st century is the golden age of computer imaging: Measurement devices have become enormously powerful and huge amounts of data are recorded at every eye glimpse. Moreover, computer technology has developed to such a high degree of efficiency that the evaluation of such an enormous amount of data has become possible *if* adequate mathematical and computational tools are used.

Recently, the community has been exposed to fundamentally new mathematical models (such as learning), which stimulated exciting theoretical developments and new computational algorithms for solving complicated large scale inverse problems. This workshop will survey modern and identify new mathematical and computational developments for tackling such problems.

more details
Quasilinear Equations, Inverse Problems and their Applications
The fourth international conference "Quasilinear Equations, Inverse Problems and their Applications" will take place in Dolgoprudny, Russia, December 3-5, 2018. We are inviting talk submissions until September 15th.
Otmar Scherzer receives the 2018 EAIP award

The Eurasian Association on Inverse Problems (EAIP) is a non-governmental organization working to ensure a coordination between inverse problems research groups and scientific schools in Eurasian countries, by providing international conferences, meetings and summer schools on inverse problems, both in theory and applications.

The association has established an "EAIP Award" to recognize outstanding scientific contributions to the field of inverse problems and continuous efforts to foster cooperation between researchers of Eurasian countries.

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Computational Science Center
Faculty of Mathematics
University of Vienna

Oskar-Morgenstern-Platz 1
1090 Wien
T: +43-1-4277-55771