[AISWorld] Teaching Assistant Professor - Business Information and Analytics, Daniels College of Business, University of Denver

[Young Jin Lee]

Job Description
The Daniels College of Business at the University of Denver invites applications for a Teaching Assistant Professor position in the Department of Business Information and Analytics (BIA) starting September 1, 2015. The Department of BIA is an academic unit of the Daniels College of Business at the University of Denver in Colorado.

The University of Denver is the oldest independent university in the Rocky Mountain region, with approximately 11,600 students in undergraduate and graduate programs. DU is classified as a Doctoral/Research University with high research activity. The Daniels College is the eighth oldest collegiate business program in the U.S. and has held AACSB accreditation since 1923. The College offers both undergraduate and master degree programs. Current enrollment in Daniels includes more than 1,300 undergraduate and 1,000 graduate students.

The Department of BIA merges the disciplines of Information Technology, Statistics, and Operations Management, focusing on the key needs of today's organizations to create, manage and understand the wealth of information they possess. The Department of BIA offers graduate programs (a master's in Business Analytics and a Business Analytics Certificate Program) and undergraduate majors and minors focusing on business analytics. Building on a legacy of leadership and first-mover advantage, the Department offers rigorous academic instruction, enjoys strong industry support, and has 16 fulltime faculty members. The Department is well positioned to be a leader in the developing fields of Business Analytics and Business Intelligence.

General Position Summary:
The Teaching Assistant Professor in BIA is expected to teach nine core courses throughout the academic year, which may include summer, fall, winter or spring quarters in the areas of applied business statistics, information technology, business analytics, decision sciences, and/or data visualization. Teaching responsibilities may include both undergraduate and graduate level courses using traditional, hybrid and online delivery methods. Teaching responsibilities may involve both day and night classes and evenings and weekends.

At the Teaching Assistant Professor rank, the appointment is initially a one-year contract, renewable up to an additional two years pending satisfactory performance. A second contract may be awarded following a formal performance review.

Teaching Assistant Professors are encouraged to engage in research; however, publications are not a requirement of this position. They also help serve the department by advising students, participate in curricula design and assurance of learning, and assuming other duties as assigned by the Department Chair.

Required Education and Qualifications:
Master's Degree in Statistics, Information Technology, Decision Sciences or related discipline.
Demonstrated teaching excellence in statistics, information technology, decision sciences or related discipline.
Work experience in one or more areas: statistics, information technology, business analytics, and/or education.
Demonstrated commitment to the principles of multiculturalism/diversity/inclusive excellence through involvement and participation in university/division-wide projects and initiatives.
Maintenance of appropriate faculty qualifications under AACSB standards.
The successful candidate will have a deep respect for and engagement with students, coupled with a commitment to attract the strongest of them, preserving and extending their diversity.

Preferred Education and Qualifications:
PhD in Statistics, Information Technology, Decision Sciences or related discipline.

Active in the business community (e.g. through association membership, consulting, publications, presentations, etc.).

Instructions to the Candidate:
Applicants must submit a cover letter, CV/Resume, and a list of three individuals who can serve as references to the University's online application system: www.dujobs.org (or via the link below). Only online applications will be considered. Once within the job description online, please click "New Resume/CV" at the bottom of the page to begin the application process. The position is expected to begin September 1, 2015.

For more information about the position, contact Scott Toney at scott.toney at du.edu<mailto:scott.toney at du.edu>.

The University of Denver is committed to enhancing the diversity of its faculty and staff and encourages applications from women, minorities, members of the LBGT community, people with disabilities and veterans. The University is an equal opportunity/affirmative action employer.

Best regards,
Young Jin (YJ)

Young Jin (YJ) Lee, Ph.D.
Assistant Professor | Department of Business Information & Analytics
Daniels College of Business | University of Denver
Daniels 582 | Phone: 303-871-4813 | Email: YoungJin.Lee at du.edu