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Lecturer - UNIV 101: The First-Year Seminar (Fall 2026)
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San Marcos
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| CSUSM is seeking committed lecturers for a variable-unit course that aims to support first-year students in their transition to the academic and social demands of college. |
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Lecturer - UNIV 100, 200 & 300 Academic Recovery Courses (Fall 2026)
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San Marcos
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| Seeking committed lecturers for our innovative academic recovery courses designed to provide students in transition with academic support and personal growth opportunities that focus on fostering campus connections, hope-building, and self-efficacy. |
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Campus Programming Coordinator
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San José
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| The Office of Student Involvement at San Jose State University invites applications for the position of Coordinator for Campus Programs, effective August 2026. We welcome candidates at various stages of their professional careers who are passionate about student engagement, leadership development, and fostering a vibrant campus community. |
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Assignments Coordinator
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San José
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| Reporting to the Senior Director, University Housing, the Assignments Coordinator performs duties under general supervision but works independently to maintain the assignment aspect of resident accounts, including processing manual and automated assignments, administering processes to address retention and recruitment of residents, and otherwise supporting the administrative functions for housing assignments as well as housing managed parking areas. |
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Lecturer - OM 614: Business Forecasting (Summer 2026)
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San Marcos
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| The Department of Operations Management and Supply Chain at California State University San Marcos seeks a part-time lecturer for Summer 2026 to teach OM 614: Business Forecasting. This course covers methods used to predict the uncertain nature of business trends in an effort to help managers make better decisions and plans. Study and manipulation of historical data in the search for patterns that can be effectively extrapolated to produce forecast. Includes exploring data patterns, moving averages and smoothing methods, regression with time series data, ARIMA methodology, and judgmental forecasting and forecast adjustment. Salary is commensurate with degree level and experience. |