*Post-Doctoral* position is available *immediately* at the laboratory of Prof. Anton Sirota at the Ludwig-Maximilians University München (Germany) for the research project that is part of international interdisciplinary collaborative research consortium BrainCom (http://www.braincom-project.eu). The goal of the project is to identify decoding capacity of the network dynamics across cortical circuits derived from the multichannel surface and depth cortical field potential recordings for applications to neuroprosthetics. As a corollary, we aim to develop, for the first time, experimentally-derived circuit-level forward model for the depth and surface cortical field potentials. The project will combine extracellular recordings using newly-developed very large scale high density multichannel arrays with optogenetic circuit-specific manipulation and quantitative behavior analysis in rodents, as well as novel analytical approaches. Project will be integrated into diverse and innovative research program of the Sirota lab (http://cogneuro.bio.lmu.de). Our laboratory is part of Bernstein Centre for Computational Neuroscience Munich (http://www.bccn-munich.de), Munich Cluster for Systems Neurology (http://www.synergy-munich.de) and the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de). Applicants are expected to be highly motivated, hard working, creative and capable of independent, analytical and critical thinking. PhD in neuroscience and a strong background in physics, computer science or engineering are required. Solid experience in in vivo electrophysiology, optogenetics and computational neuroscience is highly desirable. Strong quantitative and technical skills are a must. Good knowledge of signal processing and machine learning is a plus. Proficiency in English and good written and oral communication skills are a prerequisite. Good social and teamwork, as well as excellent organizational skills, are expected. Candidates are expected to have first author peer-reviewed publication record. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension.Candidate selection will be open until the position is filled. LMU Munich is an equal opportunity employer. Applications of women and disabled persons, given similar qualification, are preferred. Applications should include a full CV, a 1 page statement of past experience, research interests, and career goals, along with contact information of at least 2 referees. Please, send your application electronically as a single PDF file to Dr Anton Sirota at sirota@bio.lmu.de