Sign In
 [New User? Sign Up]
Mobile Version

Assistant Professor, Data Science, University of Rhode Island (URI) Harrington School of Communicati

University of Rhode Island

Kingston, Rhode Island 02881
Job Code:
Job Type:
Job Status:
Full Time
1st Shift
  • Communications
University of Rhode Island
  • Save Ad
  • Email Friend
  • Print

Job Details

The Harrington School of Communication and Media at the University of Rhode Island seeks a tenure-track Assistant Professor with a record of research in data science to enhance the University’s new data and technology focus. The position is part of a Big Data Collaborative, which includes nearly 100 faculty members and 9 recent faculty hires in departments, schools, and colleges across the university. Applicants should have familiarity and experience with computationally-intensive research as well as a track record of teaching and scholarship, and demonstrated potential for funded research leadership. This research-intensive position will also contribute to the emerging artificial intelligence hub at the University Libraries and to new directions in the Graduate School of Library and Information Studies (GSLIS), creating and teaching new high-demand and interdisciplinary courses in the Harrington School of Communication and Media.

This is a 9-month continuing tenure-track faculty appointment, expected to begin August 1, 2018. The position will be based in one or more units within the Harrington School of Communication and Media (the Graduate School of Library and Information Studies; the Departments of Communication Studies, Writing & Rhetoric, and Journalism, and the Programs in Film/Media and Public Relations), to be determined as a function of the successful applicant’s particular areas of expertise. Joint appointment arrangements are possible with other units in the School or at the University. This position is co-funded by the URI Libraries.

In collaboration with the Dean of University Libraries and the Dean of the College of Arts and Sciences, develop a program of research in data science and artificial intelligence that is supported by external funding. Work with colleagues across the University and with the Dean of University Libraries. Contribute to the advancement of the field, and work with peers to advance the use of data-oriented computational and statistical methods in diverse fields of scholarship through interdisciplinary partnerships. Primarily teach courses in the Graduate School of Library and Information Studies. Depending on the successful candidate’s areas of expertise, secondary in-load teaching responsibilities may also be assigned in other academic units in the Harrington School of Communication and Media, which includes programs in Communication Studies, Writing and Rhetoric, Public Relations, Film/Media, and Journalism. The standard teaching load in the College of Arts & Sciences is 18 credit hours per year. Because this is a research-intensive position, the anticipated teaching load is 9 credit hours per academic year. Develop courses in data science both within GSLIS and in collaboration with faculty across campus. Through teaching, research, and service, continue to foster strategic innovation and excellence in the Master in Library and Information Studies (MLIS) program. Advise and mentor students.

Visit the URI jobs website at:  to apply and view complete details for job posting (F00075).  Please attach the following 4 (PDF) documents to your online Faculty Employment Application:  (#1) Cover letter that describes how your experience meets the required and preferred qualifications, (#2) Curriculum Vitae, which should include information pertaining to the required and preferred qualifications for this position, and the names and contact information for three professional references (as one complete document), (#3) Statement of teaching philosophy and interests; statement of research interests and agenda (as one complete document), (#4) “Other Document” which is to contain PDFs of up to three published or in press papers (as one complete document).



The University of Rhode Island is an AA/EEOD employer.  Women, persons of color, protected veterans, individuals with disabilities, and members of
other protected groups are encouraged to apply.