Precall: Austrian Cluster of Excellence "Bilateral AI" is hiring 50 PhDs and 10 Postdocs, fall 2024
60 views
Skip to first unread message
Markus Schedl
Jun 27, 2024, 10:32:54 AMJun 27
to
Cluster of Excellence: Bilateral Artificial Intelligence
Pre-Call for Applications
For the recently established Cluster of Excellence CoE Bilateral
Artificial Intelligence (BILAI), funded by the Austrian Science Fund
(FWF), we are looking for more than 50 PhD students and 10 Post-Doc
researchers (m/f/d) to join our team at one of the six leading research
institutions across Austria (see below).
In BILAI, major Austrian players in Artificial Intelligence (AI) are
teaming up to work towards Broad AI. As opposed to Narrow AI, which is
characterized by task-specific skills, Broad AI seeks to address a wide
array of problems, rather than being limited to a single task or domain.
To develop its foundations, BILAI employs a Bilateral AI approach,
effectively combining sub-symbolic AI (neural networks and machine
learning) with symbolic AI (logic, knowledge representation, and
reasoning) in various ways.
Harnessing the full potential of both symbolic and sub-symbolic
approaches can open new avenues for AI, enhancing its ability to solve
novel problems, adapt to diverse environments, improve reasoning skills,
and increase efficiency in computation and data use. These key features
enable a broad range of applications for Broad AI, from drug development
and medicine to planning and scheduling, autonomous traffic management,
and recommendation systems. Prioritizing fairness, transparency, and
explainability, the development of Broad AI is crucial for addressing
ethical concerns and ensuring a positive impact on society.
The research team is committed to cross-disciplinary work in order to
provide theory and models for future AI and deployment to applications.
CoE Research Institutions:
Johannes Kepler Universität Linz (JKU Linz)
Technische Universität Wien (TU Wien)
Alpen-Adria-Universität Klagenfurt (AAU)
Institute of Science and Technology Austria (ISTA)
Technische Universität Graz (TU Graz)
Wirtschaftsuniversität Wien (WU Wien)
Board of Directors:
Sepp Hochreiter (JKU Linz)
Agata Ciabattoni (TU Wien)
Thomas Eiter (TU Wien)
Gerhard Friedrich (AAU)
Christoph Lampert (ISTA)
Robert Legenstein (TU Graz)
Axel Polleres (WU Wien)
Martina Seidl (JKU Linz)
The call for applications will open on *** September 1,*** 2024. For
more information, see http://www.bilateral-ai.net
Stay tuned!
Markus
--
Univ.-Prof. D.I. Mag. Dr. Markus Schedl
Institute of Computational Perception
Head of Multimedia Mining and Search Group
Linz Institute of Technology (LIT), AI Lab
Head of Human-centered AI Group
JOHANNES KEPLER
UNIVERSITY LINZ
Altenberger Strasse 69
4040 Linz, Austria
Office: Science Park 3, 4th Floor, Room 407
Phone: +43 732 2468 4716
Fax: +43 732 2468 4705
Mail: markus...@jku.at
Web: http://www.mschedl.eu
http://www.cp.jku.at
https://www.hcai.at
https://scholar.google.com/citations?user=TQR8qIEAAAAJ
Twitter: @m_schedl
Pre-Call for Applications
For the recently established Cluster of Excellence CoE Bilateral
Artificial Intelligence (BILAI), funded by the Austrian Science Fund
(FWF), we are looking for more than 50 PhD students and 10 Post-Doc
researchers (m/f/d) to join our team at one of the six leading research
institutions across Austria (see below).
In BILAI, major Austrian players in Artificial Intelligence (AI) are
teaming up to work towards Broad AI. As opposed to Narrow AI, which is
characterized by task-specific skills, Broad AI seeks to address a wide
array of problems, rather than being limited to a single task or domain.
To develop its foundations, BILAI employs a Bilateral AI approach,
effectively combining sub-symbolic AI (neural networks and machine
learning) with symbolic AI (logic, knowledge representation, and
reasoning) in various ways.
Harnessing the full potential of both symbolic and sub-symbolic
approaches can open new avenues for AI, enhancing its ability to solve
novel problems, adapt to diverse environments, improve reasoning skills,
and increase efficiency in computation and data use. These key features
enable a broad range of applications for Broad AI, from drug development
and medicine to planning and scheduling, autonomous traffic management,
and recommendation systems. Prioritizing fairness, transparency, and
explainability, the development of Broad AI is crucial for addressing
ethical concerns and ensuring a positive impact on society.
The research team is committed to cross-disciplinary work in order to
provide theory and models for future AI and deployment to applications.
CoE Research Institutions:
Johannes Kepler Universität Linz (JKU Linz)
Technische Universität Wien (TU Wien)
Alpen-Adria-Universität Klagenfurt (AAU)
Institute of Science and Technology Austria (ISTA)
Technische Universität Graz (TU Graz)
Wirtschaftsuniversität Wien (WU Wien)
Board of Directors:
Sepp Hochreiter (JKU Linz)
Agata Ciabattoni (TU Wien)
Thomas Eiter (TU Wien)
Gerhard Friedrich (AAU)
Christoph Lampert (ISTA)
Robert Legenstein (TU Graz)
Axel Polleres (WU Wien)
Martina Seidl (JKU Linz)
The call for applications will open on *** September 1,*** 2024. For
more information, see http://www.bilateral-ai.net
Stay tuned!
Markus
--
Univ.-Prof. D.I. Mag. Dr. Markus Schedl
Institute of Computational Perception
Head of Multimedia Mining and Search Group
Linz Institute of Technology (LIT), AI Lab
Head of Human-centered AI Group
JOHANNES KEPLER
UNIVERSITY LINZ
Altenberger Strasse 69
4040 Linz, Austria
Office: Science Park 3, 4th Floor, Room 407
Phone: +43 732 2468 4716
Fax: +43 732 2468 4705
Mail: markus...@jku.at
Web: http://www.mschedl.eu
http://www.cp.jku.at
https://www.hcai.at
https://scholar.google.com/citations?user=TQR8qIEAAAAJ
Twitter: @m_schedl
Reply all
Reply to author
Forward
0 new messages