International Doctoral Programme in Computational Neuroscience

The international doctoral programme at the Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin) is an interdisciplinary research programme. Neuroscience is one of the most intensively developing and important sciences of the 21st century. Understanding the functioning of the brain requires the collaborative efforts of neurobiologists, neuropsychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. Computational Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language available that can be used across disciplines and levels for neurobiology, cognitive science, and information technology. Computational Neuroscience may thus help to solve long-standing research questions, contribute to better prevention and treatment strategies for neural disorders, lead to unified concepts about biological processes, advance information technologies and human-machine interactions and, last but not least, provide new insight for designing efficient strategies for teaching and learning. Students who have completed the doctoral programme will have the ability to communicate across these diverse disciplines which will help them to make their own contribution to the fast growing field of neuroscience. The doctoral programme Computational Neuroscience is hosted by the BCCN Berlin. Doctoral students in the field of Computational Neuroscience can apply for association with the programme. They will benefit of structured supervision through the Faculty of the BCCN Berlin and will have access to the lectures for doctoral and Master's students and to a broad range of courses teaching transferable skills. The doctoral programme of the BCCN Berlin is one of the programmes united under the umbrella of the Einstein Center for Neuroscience Berlin , which offers a four-year PhD programme with an extended orientation phase.