Assistant Professor of Applied Mathematics

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). The anticipated hiring range is $88,000 to $95,000/per year ($7,330 to $7,920/per month).

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

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.
• 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
• Participate in departmental activities and initiatives
• Participate in service to the department, college, university, and profession/community