System Identification Number:
6002079

Posting Origination:
UNT

Department:
Merchandising/Digital Retailing (137300)

College/School:
College of Merchandising, Hospitality & Tourism http://cmht.unt.edu

Rank/Title:
Assistant Professor

Job Summary/Basic Function:
Searching for one full-time tenure-track Assistant Professor for a position supporting retail technology and innovation.

Responsibilities:
- Teach undergraduate and graduate courses in retailing and digital retailing.
- Integrate retail technology and innovation into courses using digital applications, AI, and/or other emerging technologies.
- Mentor graduate students and direct graduate student research.
- Develop an active research program with retail technology applications that supports innovation in research and curriculum development.
- Obtain external research funding.
- Develop strong partnerships that link students with the retail industry.
- Participate in department, college and university committees.

The Department of Merchandising and Digital Retailing at the University of North Texas is one of the top retail-merchandising programs in the nation with over 600 undergraduate and graduate majors. Its innovative degrees include the first and only bachelor's degrees in the nation in digital retailing and in consumer experience management plus bachelor's degrees in merchandising, home furnishings merchandising, and retailing. The Department also offers the M.S. in Merchandising and a Graduate Academic Certificate in Digital Retail Merchandising. The MDR Department's mission is to develop talent for careers in a dynamic global marketplace through innovative research, strong industry connections and diverse coursework that includes internship and study tours.

Established in 1890, UNT is a tier-one research university and one of the nation's largest public universities with over 38,000 students. As a catalyst for creativity, UNT fuels progress, innovation and entrepreneurship for the North Texas region and the state.

For more information, contact Judith C. Forney at jforney@unt.edu or 940.565.2448. A review of applications will begin on November 19, 2018 and remain open until the search is closed.

The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.

Minimum Qualifications:
- Earned doctorate with coursework in applied technology.
- Demonstrated use of applied technology to bridge teaching and research in one or more of the following: retail, digital retailing, retail merchandising, retail innovation.
- Expertise in digital applications, AI, and/or other emerging technologies applied to one or more of the following: retail, digital retailing, retail merchandising, retail innovation.
- Academic and/or research expertise in one or more of the following: retail, digital retailing, retail merchandising, business, or an aligned social science.
- Demonstrated scholarly potential.
- Aligned industry experience.

Preferred Qualifications:
- Interdisciplinary doctoral degree that includes technology coursework (e.g., computer science, engineering, information science) or aligned applied technology field.
- Graduate degree or graduate coursework in retail, retail-merchandising, business, or an aligned social science.
- Demonstrated competence in scholarship, research and grant writing.
- Demonstrated excellence in teaching.
- Emerging research record with a focus on retail technology and innovation.
- Experience mentoring graduate students.
- Evidence of successful work on research teams.
- Relevant industry experience; preferably with retail technology applications.
- Proficient in distributed learning and web-based course development.
- Demonstrated ability in building relationships with industry/professional organizations.

Area of Specialty:
Retail Technology

Position Type:
Faculty

Tenure Status:
Tenure Track

Appointment Basis:
9 Months

Pay Frequency:
Monthly

Non-Tenured Appointment Term:
No Response

Closing Date:
Open Until Search Closed

Review of Applications Begins:
11-19-2018

Required Applicant Documents:
Curriculum Vita
Cover Letter
List of Names and Contact Information of Three References
Unofficial Academic Transcripts (official transcripts due upon hire)
Statement of Research Interests

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