Bachelor- and Master Theses
- © Wiley VCH
We deal with the nonlinear dynamics and self-organized pattern formation in complex nonlinear systems and networks which appear in many fields of physics, chemistry and biology. In particular, we investigate neural networks such as our brain. Our main focus lies on the influence and control of complex spatio-temporal patterns and the investigation of stochastic effects (noise). Modern theoretical and numerical methods as well as concepts from nonlinear dynamics and computer simulations are used. These projects are embedded in the Bernstein Center of Computational Neuroscience Berlin  and the SFB 910 "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application" . Many of the projects are run in collaboration with international groups (USA, Great Britain, Russia, Ukraine, France, Italy, Australia, Singapore etc.) as well as in cooperation with experimental colleages.
- © The Royal Society, 2013
Invited Talk at the Annual Meeting of the National Academy of Sciences Leopoldina 2019 in Halle "Chimeras in Physics and Biology: Synchronization and Desynchronization of Rhythms"
Video: https://www.youtube.com/watch?v=u_k1DQzIu7s&t=10888s 
Theme Issue of the Philosophical Transactions of the Royal Society London "Dynamics, control and information in delay-coupled systems" (vol. 371, September 2013) 
Research Internships in Science and Engineering (RISE) 
At present we are looking for Bachelor and Master students interested in the following topics:
- Space-time dynamics and partial synchronization patterns in neural networks 
- Chimera states in complex and adaptive networks 
- Nonlinear dynamics and control of networks with time delayed coupling 
- Control of noise induced processes in nonlinear systems 
Depending on one's inclination and background the focus may be set in
the field of modelling/computer simulation/nonlinear dynamics.
Theses may be started at any time. Further details:
- Prof. Dr. Eckehard Schöll, PhD 
- Dr. Jakub Sawicki 
- Rico Berner