The Department of Information Technology and Decision Sciences (ITDS) is comprised of two academic disciplines, Information Systems and Management Science. The ITDS department has 28 research and teaching 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 well-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.
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 a visiting faculty position in Information Systems, Cybersecurity Decision Sciences, Management Science, Business Analytics, Cybersecurity, and/or Information Systems (DS/MS/BA/CS/IS) with an ability to teach and develop undergraduate and graduate DS/MS/BA/CS/IS courses, make high-quality intellectual contributions in those or closely related fields independently and with faculty colleagues and/or doctoral students, advise and mentor students, and render service to the department, college, university, and profession, all commensurate with their rank.
An offer of employment for this position will be made dependent upon available funding.
The successful candidate will have a PhD in Decision Sciences, Management Science, Business Analytics, Cybersecurity, Information Systems (DS/MS/BA/IS) or a closely related field (or at least a defended dissertation proposal and a very high probability of graduating by August 2022, preferably by June 1, 2022), with the ability to teach undergraduate and graduate DS/MS/BA/CS/IS 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. Degree must be awarded from an AASCB-accredited or similarly accredited institution.
A strong preference for a Ph.D. in Decision Sciences, Management Science, Business Analytics, Cybersecurity, Information Systems (DS/MS/BA/CS/IS) or a closely related field from an AASCB-accredited or similarly accredited institution. Strong preference for a proven teacher with experience teaching undergraduate and graduate DS/MS/BA/CS/IS courses and discipline-specific managerial experience. Experience developing courses, curriculum, and/or teaching cases is a plus. A candidate with a track record of conducting discipline-related research independently or with colleagues and/or doctoral students is preferred.