We are always looking for PhD students and post-docs 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, circuit motifs, and homeostasis
- Predictive and self-supervised learning
- Biologically plausible deep credit assignment
- Complex synapses for continual learning
- Ph.D. position. The PhD student will study computational principles of memory formation and continual learning in biological circuit and network models with neuronal diversity, multi-time scale plasticity, and parallel memory pathways.
- Post-doc position. The post-doc will work on problems pertaining to circuit and network models of predictive processing, including comparing their internal representations to in-vivo data from collaborating groups.
- Post-doc position and one Ph.D. position: The new hires will study and develop bio-inspired online and continual learning algorithms for robust and energy-efficient computation in dynamic or spiking neural networks with direct applications to neuromorphic computing.
The above projects are intentionally left broad to allow further development by the candidates.
Applicants interested who are interested in doing their PhD with us will broadly work on projects centered around plastic neural networks and will often have to opportunity to be involved in collaborations. PhD students receive internationally highly competitive salaries. If you the topics sound interesting 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/
Possible applicants who wish to pursue a post-doc in our team, please contact me directly. Ideally, you include a 1-2 page research statement, CV and details of 2-3 references in your e-mail.