----------------------------------------------------------------------------- ----------------------------------------------------------------------------- Post Doc Openings in Statistical Mechanics and Complexity at Sapienza University in Rome ----------------------------------------------------------------------------- ----------------------------------------------------------------------------- Statistical physics approaches have become more and more important in the investigation of an impressive number of complex systems and random models. Among these the low temperature properties of glasses, the characterization of the glass transition, the jamming state and more generally the study of phase transitions in frustrated systems as spin-glasses, neural networks or optical systems in random media. Furthermore, constraint satisfaction and optimization problems in computer science, statistical inference, machine learning, artificial intelligence benefit from fundamental results in the field of statistical mechanics of graphical models. The approaches developed in the field to study complex problems are also of interest by themselves: replicated field theory, exact results and analytic computations on random graphs via the cavity method, analytic studies of corrections to mean field theory, and also high-performance numerical methods. The Chimera research group at the Physics Department of Sapienza University in Rome (whose staff members are Giorgio Parisi, Enzo Marinari, Federico Ricci-Tersenghi, Luca Leuzzi and Tommaso Rizzo) is opening postdoc positions to work on the subjects listed above. Candidates with an excellent background and interest in at least one of the subjects above are invited to apply by sending a CV, as well as two or three names willing to provide a reference letter at the email address chimera.team@uniroma1.it The successful candidates will be awarded a fellowship of about 27,000 euros per year (after-tax salary), will have access to computing facilities, will have considerable financial support to attend conferences and workshops and will enjoy a very lively research environment at the interface between statistical physics, condensed matter physics, machine learning and high performance computing. Review of applications will start by the end of July 2020 and will continue until all positions are filled.