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Here we list a few current openings for positions at the Institute. Spontaneous applications relevant to our research areas are always welcome.

Researchers

Doctoral Position in Computational Neuroscience at the Institute for Neural Computation

The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project "Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval", which is funded by the German Research Foundation as part of the collaborative research center SFB 874.

PhD position in computational neuroscience

We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective.

Students

Student assistant for physical and virtual robotics simulations

The research group Computational Neuroscience at the Institute of Neural Computation (Institut für Neuroinformatik) is hiring a student assistant (7-10 h/week) to support the project “Modeling context-dependent acquisition and extinction learning”. Primarily you will be responsible for the manual creation and the procedural generation of virtual experimental environments using the “Blender” modeling system. In addition, you will be involved with the modeling and programming of mobile robots in virtual environments (using Blender), and the real world.

About the INI

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science.

Contact

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210

sekretariat@ini.rub.de
www.ini.rub.de