Assistant Professor of Applied Mathematics

• Instructional Faculty – Tenured/Tenure-Track 1

Southern California

Appointment Type

Bargaining Unit

Job Search Category/Discipline

• Faculty - Mathematics/Statistics 1

• Full Time 1

Apply now Job no: 550506
Work type: Instructional Faculty – Tenured/Tenure-Track
Location: Long Beach
Categories: Unit 3 - CFA - California Faculty Association, Faculty - Mathematics/Statistics, Tenured/Tenure-Track, Full Time

Position:
Assistant Professor of Applied Mathematics
Effective Date: August 17, 2026 (Fall Semester)
Salary Range: The Assistant Professor AY 2025-26 classification salary is $74,652 to $158,688/year $6,221 to $13,224/per month (12 monthly payments per academic year). The anticipated hiring range is $88,000 to $95,000/per year, $7,330 to $7,920/per month. Salary offered is commensurate with qualifications and experience.
Final date to receive applications:
Review of applications to begin October 1, 2025. Position opened until filled (or recruitment canceled).

California State University, Long Beach (CSULB) is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI). CSULB earned the prestigious Seal of Excelencia in 2023, joining a distinctive group of colleges and universities who have been recognized for its commitment to Latine/x student success. CSULB is committed to serving diverse students and has established and actively supports the Black Excellence Collegium, dedicated to promoting Black excellence and advancing Black Student Success, and El Concilio for Latinx Success at the Beach, whose mission is to build capacity and promote inclusive servingness across initiatives and efforts for the benefit of all students.

The President’s Equity and Change Commission is dedicated to achieving inclusive excellence in our community and culture and throughout the university. CSULB’s Beach 2030 University Action Plans prioritize engaging all students; expanding access to higher education; promoting intellectual achievement; building community; and cultivating resilience.

• Ph.D. in Mathematics, Applied Mathematics, Computational Mathematics, or a related discipline at the time of application, or official notification of completion of the doctoral degree by August 1, 2026.
• Demonstrated commitment to mentoring students from underrepresented and underserved populations in STEM
• Ability to teach computational and applied mathematics courses at both graduate and undergraduate levels
• Demonstrated potential to establish an ongoing research program in computational and applied mathematics
• Demonstrated commitment to working successfully with a diverse student population, including low socioeconomic and first-generation students

Preferred Qualifications:

• Successful teaching experience at the university/college level with a diverse student body
• Experience or demonstrated potential for integrating undergraduate and graduate students in research projects
• Ability to complement existing teaching expertise and research programs in the department, college, or university
• Research experience and publication records in Computational Mathematics, Scientific Machine Learning, Mathematics Modeling, Artificial Intelligence, Data Science, High-Performance Computing, or Optimization
• Successful experience at the post-doctoral level or in industry, ideally including interdisciplinary collaboration
• Potential for developing/maintaining a funded research program
• Experience of successfully working with populations demographically and/or socioeconomically similar tothe CSULB student body
• Experience mentoring or supporting students with minoritized identities or experience using inclusive and culturally relevant teaching strategies in a diverse classroom

Duties:

• Teach and develop undergraduate and graduate applied math courses in Computational Mathematics, Scientific Machine Learning, Applied Mathematics, or Data Science. Periodically teach late afternoon or evening graduate level courses. The University provides reduced teaching load for beginning tenure track faculty members. (Mode of Instruction may include in-person,…