[Ieee_vis_open_positions] Tenure-Track Faculty Positions at CU Boulder

Danielle N Szafir Danielle.Szafir at Colorado.EDU
Wed Nov 15 19:15:40 CET 2017

Faculty Positions in Data Science, Machine Learning, and Security

The College of Engineering and Applied Science at the University of Colorado Boulder invites applications for two tenure-line faculty positions beginning Fall 2018. This is an interdisciplinary search in data science, machine learning, and security, conducted by the Departments of Computer Science, Electrical, Computer and Energy Engineering, and Aerospace Engineering Sciences. Candidates are encouraged to demonstrate interdisciplinary work and must clearly indicate their areas of relevant research expertise in their cover letters. Successful candidates will be rostered in suitable home departments within the College.

Candidates are expected to complement and strengthen the existing college research portfolio or develop new high-impact research directions.  A demonstrated ability/record of excellence working with and contributing to a climate that attracts and supports students of all races, nationalities, and genders is expected. A successful candidate has a doctorate in computer science or engineering or a closely related scientific field, a significant commitment to scholarship, the potential to develop a successful externally funded research program, and ability to teach at both the undergraduate and graduate levels in computer science and engineering. One position is at the assistant professor level, and the other position is open as to rank.

Review of applications will begin immediately, and will continue until the positions are filled.  Additional information regarding the College of Engineering search process as well as our research and academic programs can be found athttp://www.colorado.edu/engineering/.


By January 15, 2018, interested persons should apply through the web site http://www.cu.edu/cu-careers and submit electronic files (pdf format) containing a cover letter, curriculum vita, two-page statements of research and teaching interests, and the names, addresses, and telephone numbers of at least three professional references.

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