We are always looking for potential candidates, for PhD, post-doc, or master projects, who are passionate about neuroscience and computation. To tackle the problems we are interested in, we often have to be creative and apply analytical and computational tools from other areas. This creative mix includes, but is by no means limited to: dynamical systems, control theory, and machine learning. Ideal candidates should be curious about the neural underpinnings of computation and learning, but should also enjoy taking on difficult math and coding problems. Topics of interest include for instance:
- Neural networks (both spiking and non-spiking)
- Synaptic plasticity and homeostasis
- Biologically plausible deep credit assignment
- Complex synapses for continual learning
There are currently several PhD positions available in the lab with competitive salaries (some specific, but not all, projects are listed here) . PhD students will work on projects centered around plastic neural networks and will typically be involved in at least one experimental collaboration. If the above applies to you, and you would like to work and learn in an international and interdisciplinary environment, please consider applying.
Applications have to be submitted via the FMI PhD program. Application deadlines may vary but are generally in spring and fall with the associated interview days in late January and June, respectively. For the exact deadlines and additional information visit: https://www.fmi.ch/education-careers/programs/
We are always on the lookout for skilled post-docs to complement our outfit. If you think you would be a good fit, please contact me directly. Ideally, you include a 1-2 page research statement, CV and details of 2-3 references in your e-mail.