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Assistant Professor of Statistics (2 positions)

Tennessee Tech42 open roles

Where
Cookeville, TN, United States
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Your applicationOpen nowAssistant Professor of Statistics (2 positions)Tennessee Tech · Cookeville, TN, United States
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The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market. Tennessee Tech postings stay open a median of 8 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.0%30 days
This job: posted today

Tennessee Tech median: 8 days open

The posting

Job Description

Description of Job Duty:

Tennessee Technological University, located in Cookeville, Tennessee, is a comprehensive public university serving approximately 11,000 students. Ranked as one of `America’s Top Colleges` by Forbes, Tennessee Tech is currently classified as a Carnegie R2 research university and its research enterprise is rapidly progressing. The university offers a strong balance of high-quality STEM programs, professional studies, and the arts. With a student-to-faculty ratio of 16.5:1, Tennessee Tech provides a close-knit academic community while supporting nationally recognized research and outreach initiatives. The Department of Mathematics has 25 faculty specializing in areas from number theory to artificial intelligence. The Department offers both bachelor’s and master’s programs, with undergraduate concentrations in actuarial science, applied mathematics, pure mathematics, statistics and data science, and math for secondary education. For more information, please see http://www.tntech.edu/cas/math/.

Tennessee Tech is an Equal Opportunity/Affirmative Action employer.

Responsibilities

Essential Functions:

Ability to teach, develop, and implement courses related to one’s curricular area and serve the overall teaching needs of the department.

Maintain an active research agenda in Statistics or related fields.

Be willing and able to lead graduate student research projects.

Demonstrate the willingness and ability to work effectively with colleagues to support the mission of the Mathematics Department and the greater campus community.

Physical Demands:

Those typical with a classroom/office environment.

Special Instructions:

The application process is maintained online at https://jobs.tntech.edu. Applicants will be required to electronically upload a cover letter, CV, copies of undergraduate and graduate transcripts (official transcripts for all degrees conferred required upon hire), and arrange for three letters of recommendation to be sent to [email protected]. At least one letter of recommendation should address the applicant’s teaching skills. Additionally, applicants are required to submit a statement describing their teaching experience and philosophy as well as a statement of research. Submission of materials is the applicant’s responsibility. Applications without all required materials are incomplete and will not be considered. Questions can be directed to: Dr David Smith, Department of Mathematics, office: (931) 372-3568, email: [email protected].

Applicants must be currently authorized to work in the United States on a full-time basis. The University is unable to sponsor or assume sponsorship of an employment visa or permanent residency, either now or in the future, for this position.

Salary:

Commensurate with education and experience. Full-time, nine-month, tenure-track position to begin August 1, 2027.

Benefits Information:

The University offers a competitive benefits package. Benefits include the accumulation of one (1) sick leave day per month and thirteen (13) University holidays. Other benefits include medical and life insurance (shared cost with the university), retirement, optional 401k, and educational benefits. Deferred income and benefits over 12 months.

Qualifications

Minimum Qualifications:

  • Ph.D. in Mathematics or Statistics from an accredited institution.
  • Strong mathematics background.
  • Research interest in Statistics or related field.

Preferred Qualifications:

  • Evidence of high-quality research.
  • Evidence of high-quality teaching.
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