About The Position

The Department of Mathematics and Statistics at San José State University is seeking a tenure-track Assistant Professor specializing in Discrete Mathematics/Graph Theory, beginning August 2027. The ideal candidate will demonstrate excellence in teaching, strong research potential, the ability to secure grants in their field, and a commitment to departmental service. The department has a growing research culture, with many recent hires actively engaged in research and securing external funding from sources like the NSF, Ethereum Foundation, Applied Materials, and governmental agencies. Pedagogically, the department embraces student-centered approaches such as team-based and activity-based learning. The department and College of Science support faculty through assigned time for research and student support, as well as sabbatical leaves. SJSU is committed to advancing equity and serves a diverse student population, including a significant number of first-generation and Pell Grant recipients. The university is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander Serving Institution (AANAPISI). SJSU aims to create inclusive learning environments and seeks teacher-scholars who foster mutual learning and knowledge exchange.

Requirements

  • Ph.D. in mathematics or a closely related field.
  • Either a clear and well-defined research agenda or a beginning record of high-impact research, scholarly publications, or external research funding in analysis.
  • Evidence of teaching excellence as demonstrated by, for example, successful engagement with high-impact teaching practices like active learning, or documented positive impacts for student success, as shown by teaching awards or other significant recognition.
  • Demonstrate an awareness of and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.

Nice To Haves

  • Success in publishing and disseminating research in discrete mathematics/graph theory.
  • Experience with, or demonstrated potential for, teaching undergraduate and graduate classes in discrete mathematics/graph theory.
  • Experience with, or commitment to, student-centered pedagogy and active learning.
  • Experience in mentoring undergraduate and graduate student research in mathematics.
  • Use of formal verification tools (e.g. Lean, Roq) in mathematics research.

Responsibilities

  • Teach a variety of classes, including service, lower division, upper division, and graduate courses, particularly in discrete mathematics or graph theory.
  • Conduct research and secure grants in discrete mathematics/graph theory.
  • Supervise SJSU students in research projects and Master’s theses in mathematics.
  • Participate in shared governance, including department, college, and university committees and other service assignments.
  • Organize all classes within the Canvas Learning Management System (LMS).
  • Demonstrate awareness and experience in understanding the needs of a diverse student population through inclusive course materials, teaching strategies, and advisement.
  • Comply with mandated reporter requirements under the California Child Abuse and Neglect Reporting Act.
  • Complete Clery Act training and report Clery incidents if designated as a Campus Security Authority (CSA).
  • Complete assigned and required CSU employee training.

Benefits

  • Competitive faculty employee benefits for the higher education sector.
  • CSU Employee Benefits Summary for details about the CSU’s excellent benefits package.
  • Startup allowance: $30,000.
  • Assigned time (relief from teaching) for faculty research, faculty support of student research, and course coordination.
  • Sabbatical leaves.
  • Parental leaves.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service