Postdoctoral position in machine learning, San Diego CA (U.S.A.)

The computer science department at the University of California, San Diego (UCSD) is looking for an outstanding postdoctoral scholar to do research in basic and applied machine learning. The successful candidate will work closely with Professor Charles Elkan on an interdisciplinary project funded mainly by a gift from Intel. The funding is to support innovative analyses of massive data collected by Intel and its partners concerning how personal computers are used.

Applicants should have a strong record of high quality published research in machine learning and/or related fields. They should be motivated to be the main author of papers to be published at top venues such as JMLR and PNAS. They should also have strong implementation skills and be eager to develop well-engineered software for use by practitioners and by other researchers. The successful applicant will have the opportunity to collaborate with a wide range of other researchers. Taking initiatives and working on other themes in addition to the Intel project will be encouraged. Applicants with interests in probabilistic methods, neural networks, computational social science, computational finance, and computational biology are especially welcome.

The starting date can be as soon as July 1, 2013. Please send expressions of interest and applications to Charles Elkan at elkan at ucsd.edu, mentioning "Intel postdoc" in the email subject line. The review process will start immediately and will continue until the opening is filled. Applications must be received before 12 August, 2013. For more information, see http://cseweb.ucsd.edu/~elkan/Intelpostdocad.html.