Interdisciplinary Math, CS & Data Science Lecturer

Belmont University

United States

On-site

USD 42,000 - 60,000

Full time

14 days+

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Job summary

Belmont University in Nashville invites applications for one or more one-year Lecturer positions in Mathematics, Computer Science, and Data Science, starting August 1, 2026. The department seeks candidates able to contribute to undergraduate teaching and interdisciplinary general education courses.

Master’s degree with 18 hours in mathematics is required; higher education teaching experience is preferred. The role may extend beyond a single year based on performance and needs.

Qualifications

  • Master’s degree with 18 graduate hours in mathematics is required.
  • Experience teaching at the higher education level is preferred.
  • Ability to create and manage course syllabi and grading workflows.

Responsibilities

  • Teach approximately 24 undergraduate credit hours per year across mathematics and related areas.
  • Demonstrate commitment to excellence in teaching undergraduate students.
  • Prepare and provide syllabus and timelines for each semester.
  • Provide meeting times for students and manage online grading in a timely manner.
  • Abide by university policies and procedures and support Belmont’s General Education program.
  • Engage in interdisciplinary and topical courses within the general education framework.

Skills

Teaching ability
Interdisciplinary teaching
Student assessment
Technology familiarity

Education

Master’s with 18 graduate hours in mathematics

Tools

BannerWeb
MS Office

Job description

Belmont University in Nashville invites applications for one or more one-year Lecturer positions in Mathematics, Computer Science, and Data Science, starting August 1, 2026. The department seeks candidates able to contribute to undergraduate teaching and interdisciplinary general education courses.

Master’s degree with 18 hours in mathematics is required; higher education teaching experience is preferred. The role may extend beyond a single year based on performance and needs.

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