[Ieee_vis_open_positions] Open Rank Position at the University of Colorado Boulder

Danielle N Szafir Danielle.Szafir at Colorado.EDU
Tue Mar 13 20:46:13 CET 2018


Dear Colleagues,


Faculty hiring in the new Department of Information Science at the University of Colorado Boulder continues.  This year we are actively hiring ongoingly in areas of Data Mining, Machine Learning, Information Retrieval or Information Visualization. With this call, we are seeking senior candidates, or current Assistant Professors with at least 3 years in rank. Please feel free to follow up with any questions.


Thanks for your consideration,


Danielle Albers Szafir



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Open Rank T/TT Position in Data Mining, Machine Learning, Information Retrieval or Information Visualization—Department of Information Science at the University of Colorado Boulder


The recently established Department of Information Science in the College of Media, Communication and Information at the University of Colorado Boulder (CU) seeks outstanding candidates for a regular faculty appointment at all ranks, though assistant candidates must have at least 3 years in rank. Successful candidates will help shape the future of Information Science—as a Department and as a discipline. With a faculty with strengths in both computer science and the social sciences, the Department takes a progressive approach to the discipline of Information Science, focusing on human–data interaction in all its diverse forms and contexts.


We have a particular interest in candidates who work in data mining, machine learning, information retrieval or information visualization. We expect the successful candidate to take a strong role in the organizational and intellectual life of the department. Applications will be evaluated until the position is filled.


The roster of the Department’s faculty reveals a diversity of backgrounds and interests that constitutes a shared commitment to progressive visions of Information Science. Our current faculty have training in multiple disciplines that include Art, Business, Cognitive Science, Communication, Computer Science, Computer-Supported Cooperative Work, Data Science, Education, History, Human–Computer Interaction, Humanities, Informatics, Law, Mathematics, Mechanical Engineering, Media Studies, Philosophy, Psychology, and Science and Technology Studies. The Department of Information Science collaborates extensively with the Department of Computer Science and is a member of the campus-wide Human-Centered Computing community.


Candidates must have a Ph.D. in Information Science, Computer Science, or a related discipline. They must have a demonstrated ability to carry out high-quality research in the field of information science and a desire to direct future scholarly interests toward this field. They must have a commitment to teaching at both the undergraduate and graduate levels. They are expected to have deep familiarity with the academic workplace and a willingness to take an active part in the life of the department and college.


CU Boulder is a research university with about 25,000 undergraduates and 6,000 graduate students. The city of Boulder is a high-tech hub, with the highest concentration of tech startups in the US at 2.5 times the density of Silicon Valley, according to the Kauffman Foundation. Boulder is also home to multiple national labs and institutes, including NCAR, NIST, NOAA, and NREL. Located at the base of the Rocky Mountains yet only 27 miles from Denver, Boulder is frequently named one of the most desirable places in the US to live.


The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities, and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at hr-ada at colorado.edu<mailto:hr-ada at colorado.edu>.  To apply, go to

https://cu.taleo.net/careersection/2/jobdetail.ftl?job=12894&lang=en.  This posting was previously listed as “Associate or Full Rank Professor of Information Science- 11961.” Applications submitted to that posting are still under consideration, and there is no need to re-apply.
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