We seek applications to fill two postdoctoral researcher positions in the
area of statistical machine learning and its application in medicine. The
selected applicants will join our interdisciplinary team in developing,
implementing, and evaluating innovative machine-learning methods for
analyzing data that are collected at the bedside and recorded in
electronic health records.  The team consists of researchers from the
Department of  Computer Science, the Department of Critical Care, the
Department of Biomedical Informatics, and the Department of Pharmacy,
University of Pittsburgh.

The applicants should have a Ph.D. in Computer Science or a related field.
The applicants should also have extensive experience in the development
and application of machine learning methods in analysis and prediction
that involve high-dimensional, time-series datasets. Exposure to and
knowledge of outlier detection and active learning methods is a plus.

The application should include a detailed CV, a research statement, and
the names and contacts of at least three references. Please send or email
your application to:

Milos Hauskrecht
Department of Computer Science
5329 Sennott Square Bldg
University of Pittsburgh
Pittbsurgh, PA 15260, USA
email: mi...@pitt.edu

If sending the application by email, please include the words
‘Postdoctoral Fellowship in Machine Learning’ in the subject line of the
message.

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