"Assistant Professor of Statistics with a focus in Data Science"

Job Description

The Department of Computer Science and Statistics in the College of Arts and Sciences (A&S) at the University of Rhode Island invites applications for a tenure-track Assistant Professor of Statistics position with a focus in Data Science, with appointment to begin Academic Year 2026-2027.

The University of Rhode Island enrolls approximately 17,000 students across its graduate and undergraduate programs. It is the State's flagship, public R1 research university, as well as the land grant and sea grant university for the state of Rhode Island. The main campus is located in the historic village of Kingston. Both campuses are near major beaches in a beautiful coastal community. URI is just 30 minutes from Providence, RI, and within easy reach of Newport, Boston, and New York City.

KEY RESPONSIBILITIES:

The candidate selected for this position will be expected to teach and develop undergraduate and graduate courses in statistics and data science, support the development of the data science programs, keep an active research agenda, seek external funding, advise and supervise undergraduate and graduate students in statistics and data science, participate in service activities and provide consulting services to students and other faculty in the Department, College and University.

QUALIFICATIONS

REQUIRED:

1. Ph.D. in statistics, biostatistics, data science, or a very closely related discipline (degree must be earned before 31 August 2026).
2. Ability to conduct academic research and publish in high-quality peer-reviewed journals.
3. Ability and interest in teaching graduate and/or undergraduate courses in statistics and data science.
4. Ability to develop and maintain a collaborative and internally/externally funded research program in statistics, data science, and/or related fields.
5. Strong interpersonal communication skills.
6. Excellent command of written and spoken English.
7. Ability to work with diverse groups/populations.

PREFERRED:

1. Candidates with research interests in areas such as computational statistics, machine learning based statistical methods, large language models (LLMs), reinforcement learning (RL), analysis of large datasets, data-centric AI, and image analysis are especially encouraged to apply.
2. Ability to develop curriculum at the undergraduate and graduate levels.
3. Ability and/or experience advising and/or mentoring students.
4. Interest in developing collaborative research and/or consulting to support the interdisciplinary nature of programs within the Department and the University as a whole.
5. Commitment and/or interest in participating in service and outreach committees.
6. Ability to improve recruitment and retention of undergraduate and graduate students.

EEO Statement:

URI is unwavering in its commitment to equal opportunity, community, equity, and diversity. In furtherance of its mission to serve and support all learners as the state's public flagship university, URI continues to expand efforts to recruit and retain a broadly representative workforce as well as to regularly evaluate the effectiveness of those efforts. All employment decisions, including hiring, are made without regard to protected status. Qualified individuals with disabilities may request reasonable accommodation by contacting the URI benefits office at 401-874-2416. For TTY assistance, contact R.I. Relay Services at 711.

Union: AAUP - American Assoc of Univ Professors

Status: Academic Year, Full-time, Tenure-track, Permanent

Department: Computer Science & Statistics

Special Instructions to Applicants

Please attach the following 5 (PDF) documents to your online Faculty Employment Application:

(#1) Cover letter including a description of how your qualifications match the requirements for the position (as one complete document).

(#2) Curriculum Vitae that includes your research interests, education history, a list of publications and awards, a list of courses taught or assisted, titles of conference presentations, consulting experience, and mentoring/advising experience (as one complete document).

(#3) Statement of Teaching (limited to two pages) and teaching evaluations (if applicable) as one complete document.

(#4) Research statement (limited to three pages) as one complete document.

(#5) Other Document - Publication history document (limited to three pages), highlighting the type of contribution given to each manuscript (methodology, writing, coding, analyses, data acquisition) as one complete document.

Note: In addition, please ask 3 referees to send a letter of recommendation by email to: Dr. Natallia Katenka, Statistics Search Committee Chair, Director of Data Science, Department of Computer Science and Statistics, URI, Email: nkatenka@uri.edu

Position Number: 107140

Posting Number: F00507

Posting Date: 11/21/2025

Closing Date:

Open Until Filled: Yes

To apply, visit https://jobs.uri.edu/postings/16019