The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht.

The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics.

We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas:

– physiologically-inspired neural modeling or neural data analysis

– deep learning, biologically-inspired neural networks

– machine learning with applications in cognitive science

– motion capture and tracking

– computer animation, virtual reality, game engines (e.g. Unreal, Unity)

In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications.

Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (, which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative ( that links groups related to machine learning and industry applications in Tübingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ‘Mechanisms of Mental Function and Dysfunction’ at the Graduate Training Center for Neuroscience (, or at the International Max Planck Research School for Intelligent Systems (


Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects.

In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++.

Additional information:

Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic Tübingen.



Where to send your application.

COMPANY University Tübingen

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