Info

The events of our institute are closely coordinated with the Inverse Problems Group of the Johann Radon Institute for Computational and Applied Mathematics (RICAM).

We meet frequently in a seminar.

For public events see: RICAM Events

Office

E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Phone: +43 (0)732 2468 4100
Fax: +43 (0)732 2468 4102

 

Postal address

Industrial Mathematics Institute
Johannes Kepler University Linz
Altenbergerstraße 69
A-4040 Linz, Austria

 

How to get here

The Industrial Mathematics Institute is located at the "Science Park" (Building 2, 5th floor) on the University Campus of Johannes Kepler Universität Linz.

 

By car:
The University Campus is right next to the "Dornach" exit of the A7 - Mühlkreisautobahn, with Passau, Salzburg and Vienna all being roughly a 1:30 hour's drive away.

 

By train:
Linz is a railway hub with Intercity lines connecting it to Vienna, Salzburg/Munich, Passau/Nürnberg and Prague.
To get to Linz by train have a look at the Homepage of ÖBB.

From the railway station, you can use either a taxi (some 15 minutes) or
public transport: go to the bottom floor of the railway station (direction "Universität"),
purchase a MIDI ticket from a ticket machine at the tram stop,
take the tram line 1 or 2,
get off at the final station "Universität";
from there, it is a 1 minute walk to our department.

 

By plane:
To get to Linz by plane have a look at the Homepage of the Blue Danube Airport (Flughafen Linz)
Except for a few times per day, there is no decent connection between the airport Linz-Hörsching and the city or university. Of course taxis (some 25 km) and rental cars are available.

 

Partner institutions

RICAM, the Johann Radon Institute for Computational and Applied Mathematics, of the Austrian Academy of Sciences

Doctoral Program "Computational Mathematics" (W1214), a special research program funded by the Austrian Science Foundation FWF

MathConsult GmbH - a company which has specialized on the development of software based on mathematics and numerics

 

Other links

Radon book series (Ricam)

ECMI

Studying Industrial Mathematics

There is a growing demand for industrial mathematicians and they need to be trained. An industrial mathematician should be able to treat industrial problems in the following steps:

  • model and formulate the industrial problem mathematically,
  • attack the problem by appropriate techniques,
  • present the results and conclusions in a manner understandable to the industrial partners (who are typically applied scientists but not mathematicians).

Thus, to be a successful industrial mathematician requires on the one hand a broad knowledge of mathematical techniques and on the other hand the ability to use the techniques on industrial problems and to work with people with different backgrounds.

Linz is the only Austrian university offering a two-year master curriculum Industriemathematik. The successful students should ideally treat an industrial problem in their diploma theses. They are graduated as Diplomingenieur. For detailed information about this curriculum (Studienplan) in German, click here.

 

Linz is also a teaching center of the ECMI post graduate programme Mathematics for Industry. The primary objective of this programme is to provide mathematicians (and other university graduates from a mathematically oriented background) with the training necessary to work successfully as mathematicians in industry.

 

Courses held by members of our institute

Please, have a look at the JKU Courses catalogue (in German)

Electronic Transactions on Numerical Analysis

Electronic Transactions on Numerical Analysis (ETNA) is an electronic journal for the publication of significant new developments in numerical analysis and scientific computing. Papers of the highest quality that deal with the analysis of algorithms for the solution of continuous models and numerical linear algebra are appropriate for ETNA, as are papers of similar quality that discuss implementation and performance of such algorithms.

The journal is published by the Kent State University Library in conjunction with the Institute of Computational Mathematics at Kent State University, and in cooperation with the Johann Radon Institute for Computational and Applied Mathematics of the Austrian Academy of Sciences (RICAM).

Connections to our Institute

Prof. Ramlau is one of the Editors-in-chief and Doz. Kindermann is one of the Managing Editors.