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Assistant Professor, Data Science, University of Rhode Island (URI) Harrington School of Communication and Media

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply for this Job link/button.

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Please see Special Instructions for more details.

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).

Posting Details

Position Information

Job Title Assistant Professor, Data Science, University of Rhode Island (URI) Harrington School of Communication and Media
Job Description Summary, Duties and Responsibilities, Required Qualifications and Preferred Qualifications

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.

Located near Rhode Island’s famous shoreline and within easy traveling distance from Boston and New York City, the University of Rhode Island is a Land-, Sea-, and Urban-Grant institution and is a top-tier research university. This position resides in the University’s Harrington School of Communication and Media, which boasts an intellectually diverse community of 62 scholars, teachers, and practitioners who deliver seven degree programs across five academic units with 1,400 students. Recently the Harrington School completed construction of a $6.8 million, cutting-edge communication and media facility, in which candidates for this position can work and teach.

Duties and Responsibilities:

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.

Qualifications

Required:

1. Earned Ph.D. by date of hire in mathematics, statistics, computer science, computational sciences, informatics, information sciences, information studies, or related discipline.

2. Demonstrated record of research in data science.

3. Demonstrated experience working in interdisciplinary groups.

4. Demonstrated ability to develop and sustain an externally-funded research program.

5. Demonstrated ability to place publications in high-impact venues.

6. Demonstrated ability to teach at the university level.

7. Demonstrated ability to work with diverse groups/individuals.

8. Demonstrated proficiency in written communication skills.

9. Demonstrated strong oral communication skills.

Preferred:

1. Demonstrated ability to contribute to and strengthen interdisciplinary programs in data science, big data, artificial intelligence, information, communication, or media studies.

2. Demonstrated ability to secure external funding.

3. Demonstrated experience with high performance computing, data analytics, machine learning, managing scholarship involving large volumes of evolving data, and/or data visualization.


ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES.

Union AAUP - American Assoc of Univ Professors
Status Academic Year, Full-time, Tenure-track, Permanent
End Date of Restriction or Limitation

Department Information

Department Harrington School
Contact(s)

Gail Henriques
Faculty/Non-Classified Professional Staff Recruitment
Office of Human Resources
URI


(Please note: Applications must be submitted directly online only at: https://jobs.uri.edu/hr)

Contact Email
Campus Location Kingston
Grant Funded
Extension Contingent on Funding Date
Special Instructions to Applicants

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).

Posting Information

Position Number 106497
Posting Number F00075
Posting Date 01/30/2018
Closing Date 03/09/2018
Open Until Filled No
Quicklink for Posting http://jobs.uri.edu/postings/3099

Applicant Documents

Required Documents
  1. Cover Letter/Letter of Application
  2. Curriculum Vitae
  3. Statement of Teaching Philosophy
  4. Other Document
Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Do you now have, or will you have an Earned Ph.D. by date of hire in mathematics, statistics, computer science, computational sciences, informatics, information sciences, information studies, or related discipline?
    • Yes
    • No
  2. * Do you have demonstrated record of research in data science?
    • Yes
    • No
  3. * Do you have demonstrated experience working in interdisciplinary groups?
    • Yes
    • No
  4. * Do you have demonstrated ability to develop and sustain an externally-funded research program?
    • Yes
    • No
  5. * Do you have demonstrated ability to place publications in high-impact venues?
    • Yes
    • No
  6. * Do you have demonstrated ability to teach at the university level?
    • Yes
    • No
  7. * Do you have demonstrated ability to work with diverse groups/individuals?
    • Yes
    • No
  8. * Do you have demonstrated proficiency in written communication skills?
    • Yes
    • No
  9. * Do you have demonstrated strong oral communication skills?
    • Yes
    • No
  10. How did you hear about this employment opportunity?
    • Public Job Posting
    • Internal Job Posting
    • Agency Referral
    • Advertisement/Publication
    • Personal Referral
    • Website
    • Other