Description

The Bernstein Center for Computational Neuroscience Freiburg is devoted to improving our understanding of neural dynamics at multiple levels regarding its underlying mechanisms, inter-relations and functional role. Furthermore, our aim is to apply new insights and techniques to outstanding questions in biomedicine and neurotechnology.

We provide PhD students from different backgrounds in natural or technical sciences with a thorough scientific and methodological basis in computational neuroscience for an academic or application-oriented career.

This PhD programme provides students with theoretical and experimental expertise in:

• neurobiology and cognition (structural and functional principles of the brain; signalling at different levels in the brain; neural coding, processing and computation; perception and action; learning and development)

• physics and mathematics (modelling and simulation of neurons and networks; dynamical systems and statistical physics; stochastic processes and statistics; systems and signals; time series analysis; adaptivity and control)

• computer science and systems technology (information processing and computation; machine learning, classification and optimisation; data mining; micro-systems technology of brain-machine-interfacing; industrial application of insights and methods from computational neuroscience)

• bio-medicine (diagnostic and therapeutic approaches to the functioning and dysfunctioning of the brain; invasive and non-invasive measurement and analysis of brain dynamics; medical applications of brain-machine-interfacing)

Courses in secondary skills are also provided.

The PhD programme is open to students with a background in the natural or technical sciences, both from Germany and abroad.

For students who come from:

• Worldwide

Want to go to:

• University of Freiburg

Disciplines:

• Engineering & Technology
  • Computer Science & IT
  • Bio & Biomedical Engineering
• Life Sciences, Medicine & Health
  • Human Medicine

Eligibility

Language Requirements

The language of instruction is English. Applicants must provide proof of their English skills but TOEFL (or equivalent) is not required. Interviews and presentations to the selection committee will all take place in English and candidates who are not fluent in English will not be considered.

Academic requirements

Diploma, MSc or equivalent in Physics, Biology, Computer Science, Mathematics, Engineering, or related disciplines, with a strong interest in interdisciplinary work.

Short-listed candidates invited for an interview must present their Master’s or Diploma thesis project to the selection committee. Afterwards, the interview is held with the PIs of the project for which the applicant has applied.

Duration

3+1 year