Post-Doc positions in Machine Learning Applied to the Social Sciences, University of Chicago, USA

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 ( in
the Computation Institute ( at the University of
Chicago (, one of the leading research universities
in the United States, and with the Toyota Technological Institute at
Chicago (TTIC,, 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
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.