available in machine learning
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.
UCSD is a world center for research in machine learning,
and 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.
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 firstname.lastname@example.org,
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