Post-Doc: Machine Learning Applied to the Social Sciences Applications are sought for an NSF-funded post-doctoral positions in machine learning applied to the social sciences with James Evans from the University of Chicago and Nathan Srebro from TTIC and the Technion. Post-docs will be associated with Knowledge Lab (knowledgelab.org) in the Computation Institute (www.ci.uchicago.edu) at the University of Chicago (www.uchicago.edu), one of the leading research universities in the United States, and with the Toyota Technological Institute at Chicago (TTIC, www.ttic.edu), an elite computer science institute located on the University of Chicago campus, and supervised by Prof. James Evans of the University of Chicago and Prof. Nathan Srebro of TTIC and the Technion. Position are for 2-3 years, contingent on annual reappointment. The aim is to develop and apply machine learning methods, including active learning, matrix learning and collaborative learning, to information gathering methods in the social sciences. Applicants are expected to have strong qualifications in machine learning or related fields, and will be introduced to social science research. They will have the opertunity to work with other post-docs, researchers and students in the social sciences, while being part of the vibrant machine learning group at TTIC. Minimum qualifications for this position are a PhD or expected PhD (by the end of 2014) in computer science, applied mathematics, statistics or a related field, with background in machine learning. Women and members of underrepresented groups are encouraged to apply. Interested candidates must submit to email@example.com: 1) cover letter, describing your interest in and qualifications for pursuing interdisciplinary research; 2) curriculum vitae (including publications list); 3) contact information for three or more scholars who know your work and are willing to write letters of reference; 4) optionally, examples of working software you have written. Positions can begin immediately or anytime through Fall 2014. Compensation includes a competitive salary and benefits plan and assistance with relocation to Chicago.