Postdoc Positions at Northwestern and TTIChicago

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The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) invites applications for two postdoctoral fellowships starting Fall of 2020, to conduct inter-disciplinary research that focuses on the theoretical foundations of data science. One fellowship is based at the Toyota Technology Institute at Chicago (TTIC) and one fellowship is based at Northwestern University.
The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL)
invites applications for two postdoctoral fellowships starting Fall of
2020, to conduct inter-disciplinary research that focuses on the
theoretical foundations of data science. One fellowship is based at
the Toyota Technology Institute at Chicago (TTIC) and one fellowship
is based at Northwestern University.
The IDEAL is a multi-discipline (computer science, statistics,
economics, electrical engineering, and operations research) and
multi-institution (Northwestern, Toyota Technological
Institute at Chicago, and University of Chicago) collaborative
institute funded by the NSF TRIPODS program that focuses on key
aspects of the theoretical foundations of data science. The institute
will support the study of foundational problems related to machine
learning, high-dimensional data analysis and optimization in both
strategic and non-strategic environments.   Further details:
Candidates will be expected to spend at least one day a week at the
other campus. Ideal candidates will have interests in several of the
special quarters that will be run from Fall 2020 to Spring 2022. By
default, applicants will be considered for both postdoctoral
positions. If you have a strong preference for one of the
participating institutions, please specify in your cover letter. We
encourage candidates to send applications as soon as possible.
Appointments begin Fall 2020 quarter. Applications received by
February 22nd, 2020 will be given full consideration.
for the application and details.
Contact Dongning Guo at dGuo@northwestern.edu if any questions.

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