Peter Tino

The EDUCADO project (Exploring the Deep Universe by Computational Analysis of Data from Observations) offers a unique opportunity for early stage researchers to develop into mature interdisciplinary scientists. You will be part of a network of 9 research groups across Europe. The formation and evolution of massive galaxies is reasonably well understood in the context of the successful standard ΛCDM formalism. Such simulations of cosmic evolution, however, lead to serious challenges in the regime of very faint galaxies (problems referred to as missing satellites, too big to fail, and planes of satellite galaxies). With the massive amounts of excellent data being produced by astronomical surveys, and with new missions scheduled to produce more data of even better quality, we have a unique chance to solve these problems. Linking detailed astrophysical simulations with observations requires development of dedicated tools in the frameworks of machine learning, natural computation and probabilistic modelling.