Open 30-Hours Week PhD and Full-Time Post-Doc Position      

The paper
"Calibration Model Maintenance in Melamine Resin Production: Integrating Drift Detection, Smart Sample Selection and Model Adaptation"
 
by the authors
 
Ramin Nikzad-Langerodi, Edwin Lughofer, Carlos Cernuda, Thomas Reischer, Wolfgang Kantner, Marcin Pawliczek and Markus Brandstetter
 

Since April 2017, Laura Peham is supporting us in the ongoing industry project of Chrome Coating Inspection for Heidenhain . Welcome aboard!

The Department of Knowledge-Based Mathematical Systems (FLLL) at the Johannes Kepler University Linz (JKU) is offering a position for an experienced researcher, Junior as well as Senior, in the field of statistical and data-driven modeling with a specific emphasis on advanced Chemometrics for the supervision of industrial processes.
 

The Department of Knowledge-Based Mathematical Systems (FLLL) at the Johannes Kepler University Linz and the Software Competence Center Hagenberg (SCCH) are offering a PhD position in the field of transfer learning with soft computing models for regression problems.
The basic task is to transfer knowledge from one or a number of original source tasks to one or more similar target tasks with little training data available for each, while achieving robust and consistent models

A keynote speech at the 7th International Conference on Fuzzy Computation Theory and Applications, Lissabon, Portugal will be held on 12th of November 2015 about
 
Evolving Fuzzy Systems - Fundamentals, Reliability, Stability, Interpretability, Useability and Applications
 
please click here for further information

Seit vielen Jahren bietet unser Institut Mathematik-Lehrveranstaltungen für Studierende der Technischen Mathematik, Informatik, Mechatronik, Informationselektronik, Kunststofftechnik und Wirtschaftswissenschaften an.
 

Francisco Serdio recieved the Best Paper Award at the IFAC Conference on Manufacturing, Modelling, Management and Control (IFAC MIM) 2013 in Saint Petersburg for the outstanding paper

Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection
by Francisco Serdio, Edwin Lughofer, Thomas Buchegger, Kurt Pichler and Hajrudin Efendic
 

The book Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies from renowned international researchers in the field of incremental learning and evolving methods for handling increased system complexity, state changes, new upcoming operation modes and dynamic environmental influences.

The offices of the Department of Knowledge-Based Mathematical Systems which are located on the JKU campus in Linz will move from the Kopfgebäude to the new Science Park II building, also located at the JKU Campus across the Altenbergerstraße. As of August 22, 2001, you can find us on the 6th floor in the Science Park II.

We are proud to announce the third public release of pureImage.

Evolving fuzzy systems (EFS) are a powerful tool to cope with changing system dynamics, new operating conditions, varying human behaviors or environmental influences, as they are able to automatically adapt parameters and expand their structure, allowing on-line real-time modeling from data streams. In a wider sense, as they are able to permanently learn in dynamic enviroments and extending their 'memory' on-the-fly, they can be seen as a contribution to computational resp. artificial intelligence.

PAC = Process Analytical Chemistry - Data Acquisition and Data Processing
Coordination: Recendt Partners: over 10 industrial partners from chemical industry, over 10 scientific national and international partners, for further information click here
Topics: Chemometric Modeling, Statistics, Data-Driven Modeling, Machine Learning, Incremental Techniques, Calibration, Quantification, Prediction, Anomaly Detection

The Johannes Kepler University Linz (Austria) invites applications for a fulltime, tenure-track research and teaching position at the Department of Knowledge-Based Mathematical Systems available October 1, 2010. Appointees will be expected to teach, pursue their research and perform department and university service.

Required qualifications: PhD (or equivalent) in Mathematics or Computer Science, demonstrated achievements or potential for excellence in research, teaching, and professional service.

The basic task is to develop enhanced methods for chemometric calibration models, which are used in the field of process analytic chemistry in order to perform automatic quantification of concentrations of relevant chemical substances. Apart from aiming at accurate quantification statements, other important goals include anomaly detection, prediction of future states and convergence of batch processes.

Our department is a scientific partner in the new Christian Doppler Laboratorium CDL-MS-MACH - CD-Labor für mikroskopische und spektroskopische Materialcharakterisierung, head: David Stifter, ZONA, JKU.