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Postdoctoral Position in Basic and Applied Machine Learning - UCSD (San Diego)

last modified May 24, 2013 09:33 AM
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. This position is for an independent individual who is enthusiastic about launching a world-class research career. 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. 
Applicants must possess a doctorate in computer science or a related area. There are no restrictions on citizenship, and applicants from leading universities outside the U.S. are welcome. The starting date can be as soon as July 1, 2013. Assuming strong performance, funding is expected to be available to extend the position. The salary will be competitive and UCSD benefits are excellent. Funds for professional travel will be available.
Please send expressions of interest and applications to Charles Elkan at, mentioning "Intel postdoc" in the email subject line. The review process will start immediately and will continue until the opening is filled. Leading applicants will be interviewed by video Skype and may be invited to visit in person.