Information Systems and Decision Sciences - Part-Time Lecturer Pool

Position

The Department of Information Systems and Decision Sciences (ISDS) at CSU Fullerton invites applications for its Part‑Time Lecturer Pool. Qualified applicants will be contacted when positions are available.

• Information System (Management Information Systems / MIS)
• Statistics / Decision Sciences
• Business Analytics
• Data Analytics / Information Technology

Applicants may also indicate interest in graduate‑level teaching in the M.S. in Information Systems (MSIS) and the MBA concentrations in Information Systems, Business Analytics, and Decision Sciences.

• Temporary appointments, often made just prior to the start of the academic term.
• Availability on very short notice.
• Initial appointment is for one semester only.
• Salary range: $5,507 - $6,677 per month (prorated for units worked).

• Master’s degree in Management Information Systems, Operations Research, Statistics, Business Analytics, Data Sciences, or related field.
• Relevant experience in a related quantitative or computational field.
• Competency with course‑related tools such as SQL/databases, Python or R, Tableau or Power BI, Excel modeling, and/or systems analysis and design.
• Ability to interact and work effectively with a culturally diverse student body, including first‑generation college students.

• Doctoral degree in a related field.
• Significant teaching experience working with diverse populations and fostering a collaborative, supportive and inclusive environment.
• Relevant performance and professional experience.
• Professional currency, certifications and/or scholarly activity supporting AACSB faculty qualification framework.
• Familiarity with artificial intelligence concepts and hands‑on experience with AI tools, and ability to integrate them responsibly into instruction.

• Cover Letter stating courses you qualify to teach.
• Curriculum Vitae.
• Unofficial transcript confirming highest terminal degree.
• Three references with contact information.
• Sample course syllabi.
• Teaching evaluations (strongly preferred).
• Statement confirming availability (day/evening sections, campus locations, modality, willingness to accept a single‑section assignment on short notice).

Please direct all questions about the position to:
Dr. Rahul Bhaskar, Department Chair at rbhaskar