Non-Tenure-Track – Lecturer – Mathematical and Quantitative Reasoning

The Department of Mathematical and Quantitative Reasoning (MQR) at Utah Valley University invites applications for a non‑tenure‑track lecturer position beginning in August 2026.

The Department of Mathematical and Quantitative Reasoning, College of Science, and UVU are committed to fostering a supportive learning and working environment for students, faculty, and staff. We welcome applicants whose experiences have prepared them to contribute meaningfully to student success and support this commitment.

The successful candidate will teach courses ranging from Arithmetic through Quantitative Reasoning. Faculty members in the department teach students to understand and appreciate the relevance of mathematics in daily life as well as prepare them for future mathematics and other courses. They will cultivate a student‑centered learning environment to help students succeed.

Non‑tenure‑track lecturer positions require 15 hours of teaching for both Fall and Spring semesters.

The ideal candidate will demonstrate a commitment to engage in professional development and to collaborate with faculty, staff, and students in support of the university’s mission and values.

UVU is a large public university with over 40,000 students. UVU is located in Orem, UT about 40 miles south of Salt Lake City.

• Teach fifteen credit hours of developmental mathematics and/or quantitative reasoning courses under administrative direction using a variety of delivery methods potentially including hybrid and online instruction. Plans, prepares, and follows an approved course of study with measurable objectives for each course taught. Prepares instructional materials including course syllabi, instructional aids, and tests.
• Instruct, manage, and supervise individuals and groups in regular classrooms and/or computerized classrooms through lectures, discussions, conferences, demonstrations, individualized instruction, and other appropriate methods. Evaluate student learning and utilize accepted assessment strategies. Maintain a student‑centered approach to education. Maintain and submit records of students’ accountability and performance. Provide an open, discrimination‑free classroom environment.
• Design course materials and prepare instructional content; assess student learning; self‑assess teaching results and apply results to improve courses, curriculum, and instructional effectiveness.
• Perform other duties as assigned.

• Graduation from a regionally accredited institution with a Master’s degree in mathematics, Mathematics Education, Statistics, or a related field of quantitative methods.
• Knowledge and skill in current instructional theories, strategies, techniques, and discipline content.
• Applicants must have at least 18 semester hours of graduate‑level mathematics or statistics courses. (Graduate courses in math education covering K‑12 math topics, pedagogy, or curriculum are desirable but do not count toward the required 18 hours.)

• Experience in teaching students with a wide range of academic backgrounds, experiences, and learning needs.
• At least two years of teaching developmental mathematics or Quantitative Reasoning classes at the college level.

• Knowledge and experience in teaching developmental mathematics, quantitative reasoning, and/or statistics.
• Knowledge of statistical analysis.
• Knowledge of and consistent use of evidence‑based and/or engaging teaching techniques.
• Knowledge of best pedagogical methods that support student learning and success.
• Knowledge with educational measurement, program evaluation, and student learning outcomes assessment.
• Knowledge of emerging practices related to the ethical and effective use of Artificial Intelligence (AI) in teaching and learning.
• Evidence of effective college‑level teaching in lower‑level college mathematics courses, developmental mathematics, statistics, and/or Quantitative reasoning courses to non‑STEM majors.

• Effective classroom management skills.
• Demonstrated strength in, and a passion for teaching mathematics in a classroom setting.
• Strong skills in presentation of course materials and learning experiences.
• Skilled in effective…