Title: Assistant Professor - Information Technology & Decision Sciences

Employee Classification: Asst Professor

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-Ryan College of Business

Department: UNT-Info Tech & Decision Sci-131320

Job Location: Denton

Salary: Competitive salary based on experience

FTE: 1.00

Retirement Eligibility: ORP Eligible

About Us - Values Overview:

Department Summary

The Department of Information Technology and Decision Sciences (ITDS) is comprised of two academic disciplines, Information Systems and Management Science. The ITDS department has 43 full-time faculty whose mission is to conduct cutting edge research and prepare the next generation of information systems, management science, and business analytics professionals. Our department offers degrees at the bachelor's, master's, and PhD levels. Five of our degrees are STEM-designated — BS and MS in IS and BBA, MBA, and MS in Business Analytics. We also offer PhDs in Information Systems, Management Science, and Information Assurance. ITDS has a solid track record of producing ll-prepared, motivated, and, ultimately, successful business professionals and academicians.

UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.

Position Overview

The Information Technology & Decision Sciences (ITDS) Department in the G. Brint Ryan College of Business at the University of North Texas, a Carnegie R1 university, seeks an individual for an Assistant Professor position in Business Analytics/Management Science with the ability and experience to teach and develop undergraduate and graduate business analytics, management science, and decision science courses, make quality intellectual contributions in those or closely related fields both independently and with faculty colleagues and/or doctoral students, advise and mentor students, and render service to the department, college, university, and profession commensurate with their rank.

An offer of employment for this position will be made contingent upon available funding.

Minimum Qualifications

The successful candidate will have a Ph.D. in Management Science, Business Analytics, or a closely related field with the ability to teach undergraduate and graduate Business Analytics courses, conduct high-quality research in those or closely related fields independently and with faculty colleagues and/or doctoral students, advise and mentor students, procure research and other funding, and render service to the department, college, university, and profession commensurate with their rank. ABDs will be considered for if they have defended dissertation proposal and expect to complete their degree by August 2025. The degree must be awarded from an AASCB-accredited or similarly accredited institution.

Preferred Qualifications

A strong preference for a Ph.D. in Management Science, Business Analytics, or a closely related field from an AASCB-accredited or similarly accredited institution. A candidate with a track record of conducting discipline-related research and ability to publish in premier business journals is preferred. Preference for a proven teacher with experience teaching undergraduate and graduate courses in data mining, management science, optimization, big data analytics, and discipline-specific managerial experience. Experience developing courses, curricula, and/or teaching cases is a plus. Willing to assist students with career guidance and help us nurture, expand, and improve relations with industry is preferred.

Required License/Registration/Certifications

Work Schedule:

varies based on assignment

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices. The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.