Assistant Professor of Statistics

Job Title Assistant Professor of Statistics

Job Description Summary, Duties and Responsibilities, Required Qualifications and Preferred Qualifications 

The search will remain open until the position has been filled. First consideration will be given to applications received by December 15, 2024. Applications received after December 15, 2024 may be reviewed depending on search progress and needs but are not guaranteed full consideration.

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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 on statistical methods with applications to social sciences. This is an academic year appointment to commence in Fall 2025. We are seeking a dynamic scholar whose research applies statistical methods to the analysis of complex social phenomena using computational techniques. The ideal candidate will contribute to interdisciplinary research and education, bridging statistics with the social sciences through innovative use of computational and statistical tools.

DUTIES AND RESPONSIBILITIES:

This is a faculty appointment in the Department of Computer Science and Statistics that will equally divide teaching, research, and service duties between the interdisciplinary Ph.D. in Computational Social Science (CSS) program in the College of Arts & Science and the Statistics programs in the Department of Computer Science and Statistics.

The selected candidate will be expected to teach a variety of undergraduate and graduate statistics courses, develop new courses at both levels for the CSS and Statistics programs, maintain an active research program, secure external funding, advise and supervise graduate students in statistics, computational social science, participate in service activities, and provide consulting services to students and faculty in the department, college, and university. The tenure home will be in the Department of Computer Science and Statistics.

REQUIRED QUALIFICATIONS:

1. Ph.D. with a concentration in statistics or closely related fields by time of appointment

August 2025.

2. Demonstrated ability to apply statistical and computational techniques and tools to social science data.

3. Demonstrated ability to conduct academic research and publish in peer-reviewed journals.

4. Demonstrated ability and interest in teaching graduate and/or undergraduate courses in statistics.

5. Demonstrated ability to develop and maintain an externally funded research program in statistics, computational social science and/or related fields.

6. Demonstrated ability to incorporate inclusion, diversity, and educational equity in teaching and scholarship.

7. Demonstrated interpersonal communication skills.

8. Demonstrated proficiency in written communication skills.

9. Demonstrated proficiency in English oral communication skills.

PREFERRED QUALIFICATIONS:

1. While all areas of methodological and applied research in statistics, computational social science or related fields will be fully considered, candidates with research interests in areas such as Bayesian methods, computational environmental or social statistics, data mining, dimension reduction methods, experimental design, functional data analysis, image data analysis, large dataset analysis, machine learning, text analysis, meta-analysis, neural data analysis, network data analysis, time series analysis, and tensor data analysis are especially encouraged to apply.

2. Demonstrated ability to develop curriculum at the undergraduate and graduate levels.

3. Demonstrated ability and/or experience advising and/or mentoring students.

4. Experience or interest in interdisciplinary collaboration, particularly with social sciences (e.g., sociology, political science, and economics).

5. Demonstrated interest in developing collaborative research and/or consulting to support the interdisciplinary nature of programs within the Department, College, and the University as a whole.

6. Demonstrated commitment and/or interest to participate in service and outreach committees.

7. Ability to improve recruitment and retention of undergraduate and graduate students, particularly students from underrepresented communities.

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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 Computer Science & Statistics

Contact(s) 

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

Contact Email 

Campus Location Kingston

Grant Funded No

Extension Contingent on Funding Date 

Special Instructions to Applicants 

Please attach only the following 5 (PDF) documents to your online 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) Teaching statement (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) Statement on Diversity (limited to one page) – Please address how your cultural, experiential or academic background contribute to the promotion of diversity at URI (as one complete document).

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NOTE: DO NOT ATTACH LETTERS OF RECOMMENDATION, HOWEVER (see below),

please ask 3 referees to send a letter of recommendation by email to: Statistics Search Committee Chair, Department of Computer Science and Statistics, URI, Email: uristatisticssearch2025@gmail.com

Position Number 106719

Posting Number F00442

Posting Date 10/24/2024

Closing Date 

Open Until Filled Yes

Quicklink for Posting https://jobs.uri.edu/postings/14202

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