Postdoctoral position available in artificial intelligence/biomedical
informatics
A postdoctoral research position is available in Samantha Kleinberg’s group in
the Computer Science department at Stevens Institute of Technology. Our broad
focus is analysis of time series data, with an emphasis on causal inference in
complex, large-scale, observational data. For researchers interested in working
with challenging real-world data, our collaborations with clinicians at
Columbia University and other institutions allow for unique access to patient
data along with the opportunity to have a tangible impact on patient care.
More information about Dr. Kleinberg is available at:
http://www.cs.stevens.edu/~skleinbe
The ideal candidate will have experience in a subset of the following areas:
-Analysis of large-scale data
-Causal inference
-Time-series analysis
-Biomedical inference
Requirements:
-PhD in computer science or a related field (e.g. statistics, bioinformatics,
physics)
-Strong publication record
-Excellent communication skills
The position is available immediately and is open until filled (though fall
start dates are also possible). Initial appointment will be for one year, with
the potential of renewal for 1-2 additional years.
Stevens Institute of Technology is a private university located in Hoboken, New
Jersey. The campus is on the Hudson river across from midtown Manhattan, within
10 minutes from NYC via public transportation, and accessible to suburban
communities in Northern New Jersey along commuter train lines. Stevens'
location offers excellent opportunities for collaborations with nearby
universities such as NYU, Princeton, Columbia, and Rutgers/DIMACS as well as
major industrial research laboratories such as Bell Labs, AT&T Labs, IBM
Research, Google New York, Siemens, and the Sarnoff Corporation.
To apply:
Please send a cv, 2-3 representative publications and email addresses for 2-3
references to samantha.kleinb...@stevens.edu
Stevens Institute of Technology is an equal opportunity/affirmative action
employer. Women and minorities are particularly encouraged to apply.
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