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IDEAL Spring 2020 Special Quarter on Inference and Data Science on Networks goes remote. Three remote PhD courses kickoff on Monday. PhD students from other institutions can apply to join remotely as virtual predoctoral fellows (application details on the special quarter page). In mid-April, the organizers will be holding a virtual kickoff workshop to overview key research directions for the special quarter. Research (Ph.D. students, postdocs, faculty, and research scientists) interested in joining the research efforts of the quarter should attend the kickoff workshop for details. The previously scheduled workshops are being rescheduled as remote workshops. Details of these workshops will be available shortly on the special quarter page and the IDEAL calendar.
The institute 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.
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.
Information for postdoctoral fellowship applicants and other ways to participate in the institute are on the participation page.
Joining forces with leading Chicago-area research institutions, Northwestern Engineering and the Weinberg College of Arts and Sciences Department of Economics colaunched the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL).
IDEAL is a multi-discipline (computer science, statistics, economics, electrical engineering, and operations research) and multi-institution (Northwestern University, Toyota Technological Institute at Chicago, and University of Chicago) institute focused on understanding key aspects of data science theory. Supported by the National Science Foundation HDR TRIPODS program, IDEAL aims to develop the foundations of data science by combining perspectives from algorithms, econometrics, and machine learning.
IDEAL in the News
Read recent media coverage of IDEAL.
November 15, 2019 | McCormick School of Engineering News
New Collaborative Institute Aims to Explore Theoretical Foundations of Data Science