Adjunct Professor of Data Sciences and Operations
4 weeks ago
The Marshall School of Business invites applications for a part-time faculty position in the Department of Data Sciences and Operations (DSO) for academic year 4-5.
USC defines two categories of appointment for faculty working less than fulltime. These are “adjunct” and “part-time.” The difference in the categories is primarily based on the nature of a faculty member’s professional work outside of teaching at USC.
Definition of Adjunct Faculty
USC reserves the “Adjunct Faculty” appointment for faculty teaching less than full-time at USC , who are employed full-time in a primary profession or career elsewhere. Adjunct faculty typically teach only one course per year but, in exceptional cases, may teach one course per semester, if approved by the dean. For example, a full-time freelance artist, a lawyer employed full-time at a firm, a pharmacist employed full-time by a pharmacy, or a consultant/entrepreneur/CFO who teaches 1-2 classes a year for USC would be considered an adjunct faculty member. A retired person who considers themselves fully retired, but teaches 1-2 classes a year for USC, could be considered Adjunct Faculty or Part-time Faculty.
Definition of Part-time Faculty
USC reserves the “Part-time Faculty” appointment for faculty teaching less than full-time who are not employed full-time in a primary position or career elsewhere. For example, a therapist with a part-time private practice, a musician who books performances on what they consider to be a part-time basis, a biologist who has a part-time job in a lab, or someone retired from a career who teaches less than full-time at USC could be considered “Part-time Faculty.” Part-time Faculty under this definition may teach a maximum of 3 courses per semester, and we hope to limit that to 2 courses per semester as full-time faculty numbers increase.
The candidate should demonstrate several years of experience teaching Information Systems and related disciplines at the undergraduate and graduate levels. We are especially interested in candidates with teaching experience in spreadsheet modeling, digital media, and candidates who also have the versatility to teach in related areas in the DSO department as needed. Candidates should have a Ph.D. from a top university in a related discipline.
Qualified candidates must submit an application online.
Information about the Data Sciences and Operations department, its faculty and the Marshall school can be obtained at: .
The per course salary range for this position is $7,-$,. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC is an equal-opportunity educator and employer, proudly pluralistic and firmly committed to providing equal opportunity for outstanding persons of every race, gender, creed and background. The University particularly encourages women, members of underrepresented groups, veterans and individuals with disabilities to apply. We are a collaborative and inclusive group of scholars who often work together, and with teams of graduate students. We are also committed to an environment that embraces diversity of topics and methodological approaches. USC is building a diverse faculty that embraces a range of disciplinary traditions.
USC will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship.
Located near the heart of Los Angeles, the University of Southern California is home to approximately , students and 4, faculty. USC Marshall is renowned for its high-ranking undergraduate, graduate, international and executive education programs, an exceptional faculty engaged in leading-edge research, a diverse and creative student body, and a commitment to technological advancement. The research productivity of Marshall’s full-time faculty ranks among the top business schools in the world.
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