Instructional Term Faculty

Instructional Term Faculty (Open Rank)

Department: College of Science

Classification: 9‑month Instructional Faculty

Job Category: Instructional Faculty

Job Type: Full‑Time

Work Schedule: Full‑time (1.0 FTE, 40 hrs/wk)

Location: Fairfax, VA

Workplace Type: On Site Required

Sponsorship Eligibility: Eligible for visa sponsorship

Salary: Salary commensurate with education and experience

Criminal Background Check: Yes

Works with Minors check: Yes

The Mathematical Sciences Department offers undergraduate, Master’s, and Ph.D. programs in pure, applied, and computational mathematics. Research across a variety of disciplines is strengthened through collaboration with local government/industry partners and nearby universities. High‑quality teaching and community engagement is achieved through innovative strategies including extensive outreach work, active learning, hands‑on undergraduate research, and graduate internships.

George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination, harassment, and retaliation throughout our STEM community. At Mason Science, our values include cultivating an organizational culture that promotes belonging, respect, and civility. We believe that varied opinions, cultures, and perspectives are what provides vibrancy, innovation, and growth to an academic community.

By prioritizing cultural responsiveness in academics, teaching, research, and global engagement, we strive to attract faculty and staff who exemplify the Mason Science mission and vision.

The position’s teaching requirements follow the workload policy which is four (4) undergraduate courses (lower and upper level) such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations each semester and provide some service duties associated with the department’s undergraduate degree.

This is a state‑funded, full‑time (9‑month) instructional (non‑tenure‑track) faculty position with the option of additional summer teaching opportunities. The position is renewable contingent upon satisfactory performance. The position’s rank is determined at the time of hire – open rank.

• Workload policy identifies teaching load as four (4) undergraduate courses (lower and upper level) each semester such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations.

• Coordinates courses, mentors students, and serves on departmental committees.

The Mason Experimental Geometry Lab (MEGL) Outreach Director will receive a reduction of two courses per semester and leads the outreach branch of the Mason Experimental Geometry Lab ((Use the "Apply for this Job" box below).). They engage the community through small‑group activities at nearby K‑12 schools and community centers, reaching approximately 1,000 students through 30 events each semester with the help of an outreach team consisting of 1‑2 graduate students and 2‑4 undergraduate students.

The Outreach Director oversees and trains staff, schedules activities, and leads in‑person activities. This additional assignment is considered to be an “at‑will” position.

• Master’s degree in Mathematics, or equivalent coursework such as a Master’s degree in Education with an undergraduate degree in Mathematics.
• Experience teaching mathematics in a university setting.
• Clear understanding of curriculum design, pedagogy, and learning outcome alignment.
• Exceptional communication skills.
• Genuine interest in nurturing the academic growth of students from diverse backgrounds.

Additional Assignment has the following required Knowledge, Skills, Abilities, and Other Attributes (KSAOs):

• Knowledge of mathematics at the university and master’s level.
• Ability to enthusiastically share mathematics with K‑12 students via fun, hands‑on activities.
• Enthusiasm for serving a diverse student body and outreach network.

• Ph.D. degree in Mathematics, or expect to receive the degree by summer 2026.
• Demonstrated experience and interest in inquiry‑based learning, active learning, and/or…