Applications through:
https://pica.cineca.it/unito/assegni-di-ricerca-unito-2022-vi/The research will concern Bayesian mixture modeling for community detection in networks; in particular:
- Stochastic Block Model (SBM) as the most convenient generative model for communities in networks
- Finite dimensional mixtures with random number of components built on species sampling models
- Gibbs sampling algorithms for posterior inference on partitions
Bayesian inference and network theory are at the core of this research and candidates are expected to have some previous knowledge on these fields. Experience on programming and computation are also welcome.