Jobs & Employment

Assistant Professor of Statistics

Required Qualifications:

The successful candidate must:

• Have earned a Ph.D. in statistics or a related field. All degree requirements must be completed prior to the
  starting date
• Have demonstrated commitment to teaching and mentoring students
• Have a well-defined research agenda

Role Description:

The Department of Mathematics at California State University, Fullerton, invites applications for a tenure-track
position in Statistics at the Assistant Professor level with the appointment to begin in August 2026.
California State University, Fullerton (CSUF) is a minority-serving institution with a Hispanic-Serving Institution
designation and equal opportunity employer. CSUF is firmly committed to increasing the diversity of the campus
community and the curriculum and fostering an inclusive environment within which students, staff,
administrators, and faculty thrive. Candidates who can contribute to this goal through their teaching, research,
advising, and other activities are encouraged to identify their strengths and experiences. Individuals advancing
the University’s strategic diversity goals and those from groups whose underrepresentation in the American
professoriate has been severe and longstanding are particularly encouraged to apply. CSUF is committed to
retaining all faculty and has established affinity groups you can join to support your success.

CSUF faculty are committed teacher-scholars who bring research and creative discovery to life for students in
classrooms, labs, and individually mentored projects. Candidates for this position must have a solid theoretical
and applied background in statistics and a passion for teaching and research. Those with research interests in
emerging domains are highly encouraged to apply. The successful candidate will contribute to the statistics
community at Cal State Fullerton through teaching, research, professional activities, and service.

Responsibilities include:

• Teaching a wide spectrum of theoretical and applied courses in statistics and data science at both the
  undergraduate and graduate levels
• Conducting research resulting in publications in high-quality peer-reviewed journals within a
  collaborative faculty-student environment
• Mentoring students and guiding them towards post-graduation success
• Contributing to curriculum development by incorporating modern statistical and data science approaches
  to existing courses or creating new courses
• Serving on departmental and university-wide committees

A successful candidate will have the opportunity to participate in a transdisciplinary Titan Supercomputing Center
and contribute to the growth of the Statistical Consulting Center within the College of Natural Sciences and
Mathematics.

Application Deadline:

To be assured full consideration, all application materials must be received by Sunday, October 5, 2025. The anticipated appointment date is August 17, 2026. Please direct all questions about the position to Dr. Jessica Jaynes at jjaynes@fullerton.edu.

Application Procedure:

To receive consideration, a complete online application must be received by electronic submission via https://www.mathjobs.org/jobs/list/26674 (PDF: Tenure Track Faculty Position Announcement document).

---

Part-Time Lecturer

Who It’s For:

Qualified instructors interested in teaching lower-division, credit-bearing mathematics courses.

Role Description:

Part-Time Lecturers play a key role in delivering high-quality instruction to students in foundational mathematics. Responsibilities include preparing and delivering lectures, assessing student work, and supporting student learning.

Availability:

Positions are limited and subject to department needs and funding.

Application Timeline:

Applications open in March for teaching appointments in the Fall semester.

Details & Application:

• PTL Application Information

---

Teaching Associate

Who It’s For:

Master’s students seeking part-time instructional experience in mathematics education.

Role Description:

Teaching Associates typically teach one or more elementary-level mathematics courses under departmental guidance. This opportunity provides valuable teaching experience for graduate students preparing for careers in education or academia.

Availability:

Positions are limited and subject to department needs and funding.

Application Timeline:

Applications open in March for Fall semester appointments.

Details & Application:

• TA Application Information

---

Grader

Who It’s For:

Bachelor’s and Master’s students interested in supporting faculty by evaluating student coursework.

Role Description:

Graders are responsible for assessing homework and quizzes under the supervision of a faculty member. These are term-based appointments and provide behind-the-scenes experience in course assessment and feedback.

Availability:

Positions are limited and subject to department needs and funding.

Preferred Applicants:

Students with Federal Work Study (FWS) awards are prioritized.

Application Process:

Submit an online application to our Grader applicant pool before the start of the upcoming term. Choose the appropriate option based on your funding status:

• Applicants receiving a federal financial award should apply as Federal Work Study applicants.
• Applicants not receiving a federal financial award should apply as a Non-Federal Work Study Applicant.

• Grader Application Information

---

Apprentice

Who It’s For:

Bachelor’s students interested in gradually building experience as classroom instructors.

Role Description:

The Apprentice role is designed as a mentored, progressive teaching experience. Apprentices start by observing faculty mentors and gradually take on more active roles in active learning classrooms. This is a valuable early-career experience in educational settings.

Availability:

Positions are limited and subject to department needs and funding.

Work Style:

Flexible and adaptive to individual pace and readiness, with one-on-one mentorship.

Preferred Applicants:

Priority is given to students with Federal Work Study (FWS) awards.

Application Process:

Apply online to the Apprentice applicant pool before the start of the upcoming term:

• Applicants receiving a federal financial award should apply as Federal Work Study applicants.
• Applicants not receiving a federal financial award should apply as a Non-Federal Work Study Applicant.

• Apprentice Application Information

Questions?

Please contact the mathoffice@fullerton.edu with any questions regarding employment.