Adjunct Instructor - Warner School

Rochester, NY

Responsibilities

The Warner School at the University of Rochester welcomes applicants for an Adjunct Professor position. The position is a short-term position (TAR position) to teach EDE536B-1 Leading Teams in the Use of Data for the Spring 2024 academic session (January 2024 through May 2024).

Applicants must have a record of excellence in both teaching and practice. Experience with online instruction and Blackboard is desired. Applicant must have a master’s degree in a related field and the ability to teach courses at the graduate level.

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.

How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled

Pay Range

Pay Range: $3,420 - $4,000 Per Course

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

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Location: Warner Grad School Education
Full/Part Time: TAR
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