University of South Florida
Assistant Professor (Finance)
The School of Information Systems and Management at the Muma College of Business at the University of South Florida (USF) is searching for outstanding candidates to fill faculty positions in the area of Business Analytics, Artificial Intelligence, and Information Systems at the rank of Assistant/Associate Professor of Instruction. Candidates must have a doctorate degree in information systems, analytics, statistics, or a related field from an AACSB accredited institution or equivalent and preferably has evidence of meeting AACSB faculty qualification requirements. Candidates who will successfully complete all requirements for the doctorate degree by August 1, 2025, including final dissertation defense, may also apply.
Preference will be given to candidates who can teach and develop core and elective courses in the BS/MS in Business Analytics and Information Systems and the BS/MS in Artificial Intelligence (AI) and Business Analytics programs, possess a track record or a willingness to undertake activities in support of student success initiatives, have a track record and sustained interest in research related to analytics and information systems, and/or have academic experience in teaching AI, analytics or information systems such as Data Mining, Data Science Programming, Data Analytics for Business, Machine Learning and Managerial Decision Analysis related courses at the undergraduate or graduate level from an AACSB accredited institution.Minimum Qualifications:
Doctoral degree from an accredited institution in an appropriate field of specialization or equivalent qualifications based on professional experience and otherwise qualified to perform assigned duties. Must meet university criteria for appointment to the rank of Instructor.
Preferred Qualifications:
While a completed doctoral degree is strongly preferred, candidates who will successfully complete all requirements for the doctorate degree, including final dissertation defense, before August 1, 2025 may also apply.
This position may be subject to a Level 1 or Level 2 criminal background check
Applicants for USF employment are entitled to request reasonable accommodation(s) in the application process. A request is to be made at least five (5) working days prior to the time the accommodation(s) is needed. Contact the USF ADA Lead ( hr-ADA-Request@usf.edu ) to coordinate your accommodation request.The University of South Florida is a high-impact global research university dedicated to student success. Over the past 10 years, no other public university in the country has risen faster in U.S. News and World Report's national university rankings than USF. Serving more than 50,000 students on campuses in Tampa, St. Petersburg and Sarasota-Manatee, USF is designated as a Preeminent State Research University by the Florida Board of Governors, placing it in the most elite category among the state's 12 public universities. USF is a member of the American Athletic Conference.
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Working at USF
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With more than 16,000 employees at USF, the University of South Florida is one of the largest employers in the Tampa Bay region. At USF you will find opportunities to excel in a rich academic environment that fosters the development and advancement of our employees. We believe in creating a talented, engaged and driven workforce through on-going development and career opportunities. We also offer a first class benefit package that includes medical, dental and life insurance plans, retirement plan options, tuition program and generous leave programs and more.
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To learn more about working at USF please visit: Work Here. Learn Here. Grow Here .The candidates will fulfill our teaching needs in business analytics and AI and may also teach courses in related fields, such as business statistics. Preferred candidates will have a doctoral degree in business analytics/statistics or a related field from an AACSB accredited institution or equivalent and must provide evidence of meeting and sustaining the college's AACSB faculty qualification requirements for scholarly academics.