University of Ulm
Institute of Neural Information Processing
Faculty of Engineering, Computer Science and Psychology

There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging.

The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence.

The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented.

Candidates should send a CV and a brief statement of interest to 
Prof. Dr. Dr. Daniel Alexander Braun daniel.braun@uni-ulm.de

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Prof. Dr. Dr. Daniel Alexander Braun
Institute of Neural Information Processing
Faculty of Engineering, Computer Science and Psychology
Ulm University
James-Franck-Ring
D-89081 Ulm
Germany

phone:  +49 (0)731 50 - 24150
fax:    +49 (0)731 50 - 24156
email:  daniel.braun@uni-ulm.de