Come work with us at the library and CS.
Karim Boughida
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To apply go here

APPLICATION DEADLINE: The search will remain open until filled. First
consideration will be given to applications received by November 15, 2018.
Second consideration may be given to applications received by December 15,
2018. Applications received subsequent to the second consideration date
(December 15, 2018) may not be given full consideration.

The Assistant Professor position is full time 9-month academic year,
tenure-track, permanent, with appointment to begin academic year 2019-20.

The University of Rhode Island invites applications for Assistant Professor
of Data Science in the Department of Computer Science and Statistics. This
position has reduced teaching responsibilities to conduct collaborative and
interdisciplinary Data Science research through the URI Big Data and Data
Science initiatives that are coordinated by the University Library. This is
the tenth position in a university-wide Big Data cluster hire that began in
Fall 2016. This research-intensive position is co-funded by the URI
Libraries. The successful candidate is expected to contribute to the new
artificial intelligence lab at the University Library.

We are particularly interested in candidates with expertise in Data Science
and its applications across multiple disciplines.

It is expected that all candidates will also be committed to excellence in
undergraduate and graduate teaching, and to supervising and mentoring

Duties and Responsibilities:

Applicants should demonstrate a strong commitment and capacity to initiate
new funded research as well as to expand, complement, and collaborate with
existing data driven research programs across the colleges at URI. As part
of the position, the successful candidate will regularly perform graduate
and undergraduate teaching duties, including developing new courses related
to their research expertise in Computer Science and Data Science.



1. Ph.D. in Data Science, Computer Science or related area (degree must be
awarded by August 2019).

2. Demonstrated evidence of fundable research in the field of Data Science
with scholarly work commensurate with level of academic experience.

3. Demonstrated ability to teach Data Science.

4. Demonstrated ability to work with diverse groups/populations.


1. Preference will be given to candidates who can contribute to and
strengthen interdisciplinary programs in data science, big data, artificial
intelligence, information studies, etc.

2. Developing new courses and innovative curricular programs in Data

3. Developing collaborative relationships with other partners in Rhode
Island, the region and the nation.

4. Increasing the diversity of the faculty and scholarship in the
department; provide a role model for students of diversity.

5. Improving recruitment and retention of undergraduate and graduate
students and strengthening learning and research outcomes.

Union AAUP - American Assoc of Univ Professors
Status Academic Year, Full-time, Tenure-track, Permanent
End Date of Restriction or Limitation
Department Information
Department Computer Science & Statistics
Gail Henriques
Faculty/Non-Classified Professional Staff Recruitment
Office of Human Resources
University of Rhode Island

Please note: Job applications must be submitted directly online only at: (

Contact Email
Campus Location Kingston
Grant Funded No
Extension Contingent on Funding Date
Special Instructions to Applicants
Please attach the following 5 (PDF) documents to your Faculty Employment

(#1) Cover letter.

(#2) CV, which should include a list of courses taught or assisted,
consulting experience, and mentoring experience (as one complete document).

(#3) Teaching statement.

(#4) Research statement.

(#5) “Other” – the names and contact information for three professional

Posting Information
Position Number 106497
Posting Number F00107
Posting Date 10/15/2018
Closing Date
Open Until Filled Yes
Quicklink for Posting
Applicant Documents
Required Documents
Cover Letter/Letter of Application
Curriculum Vitae
Statement of Teaching Philosophy