[Comp-neuro] PhD fellowships in computational neuroscience at the FMI in Basel, Switzerland
fzenke at gmail.com
Fri Oct 19 11:45:17 CEST 2018
The FMI PhD program now welcomes applications in computational neuroscience.
Submission deadline is the 16th of November 2018.
The FMI PhD program offers students the opportunity to carry out
cutting-edge research in a stimulating, highly international and
collaborative atmosphere. Affiliated with the Novartis Institutes for
BioMedical Research and the University of Basel in Switzerland, the FMI
provides interdisciplinary training and access to state-of-the-art
technology platforms and high-performance computing facilities.
Several research groups at the FMI offer exciting PhD projects for
students with a computational background. PhD students whose primary
interest is in computational neuroscience, will be able to join a new
group led by Friedemann Zenke which focuses on memory formation and
information processing in biologically inspired neural network models.
Students will have the opportunity to directly collaborate with
experimental groups in system neuroscience at the FMI
A wide range of theoretical and practical courses are available at both
the FMI and the University of Basel. After completion of their thesis
work, students are awarded a PhD from the University of Basel.
Candidates should be curious about the neural underpinnings of
computation and learning, have a strong analytical and quantitative
background, and hold a relevant first degree in, for instance, computer
science, engineering, mathematics, neuroscience, physics, psychology, or
Funding is available regardless of current residence and nationality.
Applications should be submitted online via
PhD program: https://www.fmi.ch/training/PhD/
Zenke group (from 2019): https://www.fmi.ch/research/groupleader/zenke.html
Neurobiology groups: https://www.fmi.ch/Research/Neurobiology/
For questions, please contact Elida Keller (fmiphdprogram at fmi.ch).
Friedemann Zenke, PhD
Sir Henry Wellcome Fellow
Centre for Neural Circuits and Behaviour
University of Oxford
More information about the Comp-neuro