Connectionists: PhD Position in Neuro-Symbolic AI at Ulm University

[Daniel Braun]

1x PhD Position (TVöD E13, 100%) 
in Neuro-Symbolic AI

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, Germany. 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 sub-symbolic 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 (https://kemai.uni-ulm.de/). 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 through collaboration with Ulm University Clinic. 
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 position will be available from JAN 1, 2027 and will be filled as soon as possible.

The University of Ulm is an equal opportunity employer.

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