Funded by a prestigious research foundation, we are seeking two PhD students to work in the general area of generative modeling using spiking networks. This innovative project combines mathematical and computational techniques to create novel models that mimic the dynamics of biological networks.
Spiking networks are designed to represent information as sequences of impulses, allowing for more efficient and effective processing of complex data. In this project, we will investigate the relationship between spiking and diffusion-based generative models, with a focus on applications such as speech synthesis.
The ideal candidate should have a strong background in physics, mathematics, or engineering, with proficiency in programming and machine learning. Familiarity with ordinary and statistical differential equations is also desirable.
This four-year fully funded position offers excellent opportunities for growth and development. Selected candidates will be enrolled as doctoral students at a leading Swiss university, subject to acceptance by the relevant doctoral school.