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.
Application Deadline: 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.
College of Natural Sciences and Mathematics
Department of Mathematics and Statistics

Required Qualifications:

• 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 to the CSULB student body
• Experience mentoring or supporting students with minoritized identities or experience using inclusive and culturally relevant teaching strategies in a diverse classroom

EMPLOYMENT REQUIREMENTS:

A background check (including a criminal records check and telephone reference check with most recent employer) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position.
The person holding this position is considered a “mandated reporter” under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 Revised July 21, 2017 as a condition of employment.
Pursuant to the CSU Out of State Employment Policy, hiring employees to perform CSU-related work outside of California is prohibited effective January 1, 2022. By prohibiting employment outside of California, the CSU also prohibits hiring and retaining employees working permanently from a business location outside of the United States. Exceptions to the Policy are limited to approved and documented purposes for conducting CSU business outside of California.
All employees who assign and/or oversee work are responsible for ensuring that compliant work controls and procedures consistent with Federal, State and local regulations and University policies are implemented and maintained to provide for the protection of individuals and to safeguard the environment. Everyone is expected to comply with applicable Environmental Health and Safety regulations and University policies, programs and procedures. For more information, the systemwide policy can be found at https://calstate.policystat.com/policy/18172024/latest/ and questions may be sent to EnvironmentalHealthSafety@csulb.edu.
The CSU strongly recommends that all individuals who access any in-person program or activity (on- or off-campus) operated or controlled by the University follow the COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications and comply with other safety measures established by each campus. The systemwide policy can be found at https://calstate.policystat.com/policy/9779821/latest/ and questions may be sent to fahr@csulb.edu.
All university program and activities are open and available to all regardless of race, sex, color, ethnicity, or national origin. Consistent with CSU’s Nondiscrimination Policy, as well as state and federal law, CSULB provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity or national origin. To access CSULB’s full statement on Equal Opportunity and Excellence in Education and Employment, please visit Equity and Compliance.
Advertised: Aug 14, 2025 (11:30 AM) Pacific Daylight Time

• 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, hybrid, online, and/or any combination thereof.)
• Participate in professional development to improve teaching effectiveness
• Develop and maintain a research program which leads to publications in refereed journals
• Advise and mentor undergraduate and graduate students (e.g., academic advising, scholarly projects, etc.)
• Participate in departmental activities and initiatives, including efforts to prepare students for successful careers and further education, and to develop/improve curricula
• Participate in service to the department, college, university, and profession/community
  CSULB seeks to recruit faculty who enthusiastically support the University’s strong commitment to the academic success of all of our students, including students with disabilities, students who are first generation to college, veterans, students with diverse socio-economic backgrounds, and students of diverse sexual orientations and gender expressions. CSULB seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the People of California, to maintain the excellence of the University, and to offer our students a rich variety of expertise, perspectives, and ways of knowing and learning.