[Comp-neuro] Two PhD positions in Computational Neuroscience in Bremen, Germany (salary E13/2)

Two PhD positions in Computational Neuroscience in Bremen, Germany (salary E13/2)

These positions are part of the newly established research group ‘Rapid Parallel Configuration of Visual Information Processing’. The group is funded by the BMBF via the Bernstein Award for Computational Neurosciences (1.25 Mio. €), granted to the group leader Dr. Udo Ernst. Research is divided into four interdisciplinary subprojects combining theory, simulation, and experimental work. Applications in either English or German language should include a letter of motivation, CV, copies of school and university certificates (master/diploma or equivalent), and should be sent to ajanssen@neuro.uni-bremen.de until May 31st, 2012. For a more detailed description of the research project and other open positions, please visit our web site at http://www.bernstein.uni-bremen.de

(1) Neural mechanisms, anatomical structures, and collective dynamics of rapid functional configuration

Goal of the first PhD-thesis is to investigate parallel functional configuration in the visual system by performing bottom-up modelling in combination with numerical simulations and mathematical analysis. This work also includes assistance in analyzing data from neurophysiological recordings in collaboration with the other subprojects, and generating model predictions for the ongoing experiments.
The candidate should possess a master/diploma or an equivalent degree in natural sciences (i.e., Physics, Mathematics or Computer Sciences), and have a strong background in dynamical systems/non-linear dynamics/information theory. Proficiency in a higher computer language such as C, Python, or Matlab is required. Ideally, the PhD student should have basic knowledge about neuronal networks and the physiology of the visual system. We expect a high motivation for communicating and collaborating with the other subprojects.

(2) Computational principles of rapid functional configuration

Goal of the second PhD-thesis is to analyze parallel functional configuration in the visual system as adaptive information processing within the framework of probabilistic generative models. On the basis of the models emerging from this top-down approach, approximate neuronal algorithms shall be derived that realize functional configuration under biophysically realistic constraints in hierarchical networks. The PhD student will collaborate with the other subprojects, for comparing model dynamics to psychophysics, and for developing novel experimental paradigms suitable for testing specific model predictions.
The candidate should possess a master/diploma or an equivalent degree in natural sciences (i.e., Physics, Mathematics or Computer Sciences), and have a strong background in generative models/probabilistic networks/information theory. Proficiency in a higher computer language such as C, Python, or Matlab is required. Ideally, the PhD student should have basic knowledge about nonlinear dynamics and the physiology of the visual system. We expect a high motivation for communicating and collaborating with the other subprojects.

General Information

The group is hosted by the Center for Cognitive Sciences (Zentrum für Kognitionswissenschaften, ZKW; http://www.zkw.uni-bremen.de) in the new Cognium building on the campus of the University Bremen. Neuroscience is one of the special research foci at the university, which includes different labs working in Human Psychophysics, Electrophysiology, Neuropharmacology, Psychology, Computer Sciences and other related disciplines. Bremen is a nice little town in northern Germany with a rich maritime history. The city offers a vivid cultural life, with cinemas, performing arts, music events, and street festivals. Enjoy the cafes or bistros in charming old houses, discover the beauties of a landscape between water and sky on your bike, or visit the seashore with dunes and dikes!