Adjunct Instructor, Department of OBAIS, Business Analytics, Lindner College of
Inside Higher Ed, Cincinnati, OH, United States
Job Overview
The Carl H. Lindner College of Business, Department of Operations, Business Analytics and Information Systems (OBAIS), is accepting applications for one or more term adjunct (part‑time) faculty in the broad area of Business Analytics capable of teaching subjects such as Optimization, Statistical Models, Data Analysis/Visualization, Simulation, Machine Learning, Artificial Intelligence, and Probability.
Essential Functions
Teach assigned undergraduate and/or graduate level courses and seminars on a part‑time basis.
May serve as an academic advisor for students and evaluate student coursework.
Engage in ancillary activities in support of responsibilities.
Respond in a timely manner to all University‑related communications.
Other related duties as assigned.
Minimum Requirements
Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject. Ability to work and collaborate with others.
Required Education
Bachelor's degree or higher in Business Analytics or a related field.
Application Process
Upload your CV / resume.
Upload a cover letter that includes a statement of your teaching philosophy and describes the course(s) you feel qualified to teach and how your experience supports those course(s).
For all faculty hires, official academic transcripts will be required at the time of hire.
Compensation and Benefits
UC offers an exceptional benefits package designed to support well‑being, financial security, and work‑life balance. Benefits include competitive salary based on experience, tuition remission for most undergraduate and graduate programs, robust retirement plans (OPERS, STRS), and a generous time‑off policy (vacation, sick time, paid holidays, and additional end‑of‑year paid time off).
Equal Opportunity Employer
UC is an E‑Verify employer. Building a workplace where all qualified applicants will receive consideration for employment, including individuals with disabilities and protected veterans.
REQ: 102026
#J-18808-Ljbffr
The Carl H. Lindner College of Business, Department of Operations, Business Analytics and Information Systems (OBAIS), is accepting applications for one or more term adjunct (part‑time) faculty in the broad area of Business Analytics capable of teaching subjects such as Optimization, Statistical Models, Data Analysis/Visualization, Simulation, Machine Learning, Artificial Intelligence, and Probability.
Essential Functions
Teach assigned undergraduate and/or graduate level courses and seminars on a part‑time basis.
May serve as an academic advisor for students and evaluate student coursework.
Engage in ancillary activities in support of responsibilities.
Respond in a timely manner to all University‑related communications.
Other related duties as assigned.
Minimum Requirements
Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject. Ability to work and collaborate with others.
Required Education
Bachelor's degree or higher in Business Analytics or a related field.
Application Process
Upload your CV / resume.
Upload a cover letter that includes a statement of your teaching philosophy and describes the course(s) you feel qualified to teach and how your experience supports those course(s).
For all faculty hires, official academic transcripts will be required at the time of hire.
Compensation and Benefits
UC offers an exceptional benefits package designed to support well‑being, financial security, and work‑life balance. Benefits include competitive salary based on experience, tuition remission for most undergraduate and graduate programs, robust retirement plans (OPERS, STRS), and a generous time‑off policy (vacation, sick time, paid holidays, and additional end‑of‑year paid time off).
Equal Opportunity Employer
UC is an E‑Verify employer. Building a workplace where all qualified applicants will receive consideration for employment, including individuals with disabilities and protected veterans.
REQ: 102026
#J-18808-Ljbffr