Two Ph.D. fellowships are available on deep probabilistic programming (DPP) at the University of Copenhagen.  The aims of one of these is to advance functional high-performance computing for DPP. This includes, but is not limited to, contributing to novel functional language and compiler technology for differential programming/automatic differentiation; domain-specific language design for programming with probability distributions and sampling from them; generating high-performance vectorized multicore or GPU code; and applications to deep learning, Bayesian inference and probabilistic programming.  

Application deadline: January 15th, 2020.

For more information and for applying for the position, please see https://di.ku.dk/ominstituttet/ledige_stillinger/phd-fellow-dpp/.