Data Science & Software Science

Partner for industry and research

Research at Software Competence Center Hagenberg (SCCH) concentrates on equal footing in Data Science and Software Science. The synergy of Data Science and Software Science at SCCH is an important success factor. 

As a COMET competence center, SCCH conducts cutting-edge research on an international level. Together with our scientific partners, especially Johannes Kepler University Linz, SCCH strives toward leadership in the future-oriented fields of digitalization and artificial intelligence.

 

(Junior) Research Engineer Machine Learning and Computer Vision (m/f)

Job offer

We are looking for a (Junior) Research Engineer (f/m) to join our computer vision team at Software Competence Center Hagenberg with expertise in machine/deep learning as well as in mathematical modelling.

Web Engineer in Research & Development (m/f)

Job offer

We are looking for an enthusiastic Web engineer with curiosity and interest in challenging tasks to join our innovative team in the research area of Software Analytics and Evolution (SAE).

SCCH @ Hannover Messe Industrie

AI meets Software Engineering

The Hannover Messe Industrie is the worldwide hotspot for industry 4.0 - with 300,000 m² of exhibition space, 220,000 visitors and 6,500 exhibitors. Here, SCCH presented its methods for the intelligent optimization of production processes at the joint stand of the UAR Innovation Network.

Best Paper Award

Best Industrial Experience Paper

Stefan Mohacsi (Atos IT Solutions and Services) and Rudolf Ramler (Software Competence Center Hagenberg) received the Best Industrial Experience Paper Award for their contribution to the scientific track of the Software Quality Days 2019. The conference was held January 15-18, 2019 in Vienna.

Deep Learning at the Edge

Join the event in Linz

On February 7th, SCCH and its partners from H2020 ALOHA project organize an event on the topic of Deep Learning and Embedded Systems. Take part in existing talks from researchers and professionals in this field.

Hannover Messe

AI meets Software Engineering

The interplay of automation and energy technology, intralogistics, IT platforms and artificial intelligence is driving the digital transformation of industry forward. HANNOVER MESSE's main theme, "Integrated Industry - Industrial Intelligence", demonstrates the potential of this development.

EVOLVE-IT

Facts and figures magazine is online

In the magazine you will find the business figures for 2017, exciting research projects and an overview of our COMET partners.

Disobedience meets digital future

SCCH celebrates at the Tabakfabrik Linz

More than a hundred guests accepted SCCH's invitation to visit the tobacco factory in Linz. In addition to a visit to the Strada del Start-up, the program also included a guided tour of the former "Tschickbude".

Making research visible

Award Submissions

Now it's thumbs up. SCCH has submitted its research projects to the eAward and the Houska Prize.

Scientific Head Data Analysis Systems (f/m)

Job offer

For our research focus Data Analysis Systems we are looking for a Scientific Head to lead an international team of about 20 researchers in the field of machine learning and data analysis. 

Junior & Senior Data Scientist (f/m)

Job offer

We are looking for a Junior Data Scientist (f/m) and a Senior Data Scientist (f/m) to join the “Data Analysis Systems” team of the Software Competence Center Hagenberg (SCCH) to work on research-intensive machine learning and data analysis problems.

RTO Innovation Summit

Expanding the scientific network

Mario Pichler attended the RTO Innovation Summit in Brussels at the beginning of November. More than 400 participants took part in that event. 

Project AUTODETECT

Determine the state of health of machines

The aim of the project is to investigate the scientific and technical basis for the detection, diagnosis and prediction of faults in technical systems. In particular, the research of robust learning algorithms will be used to create the basis for a software platform that can be used as generally as possible to analyze the state of technical systems.