[AISWorld] Assistant/Associate Professor in Business Information & Analytics, Daniels College of Business, University of Denver

[Young Jin Lee]

Title: Assistant/Associate Professor in Business Information & Analytics, Daniels College of Business, University of Denver

Job Description 
The Daniels College of Business at the University of Denver (DU) in Colorado invites applications for a tenure-track faculty position at the Assistant or Associate Professor rank in the Department of Business Information and Analytics (BIA) starting fall 2015. The Department of Business Information and Analytics (BIA) is an academic unit of the Daniels College of Business at DU. DU is the oldest independent university in the Rocky Mountain region, with approximately 11,700 students in undergraduate and graduate programs. DU is classified as a Doctoral/Research University with high research activity. The Daniels College of Business is one of the largest colleges within the University, with 1,800 undergraduate and 1,000 graduate students. We offer a variety of majors and minors, including two bachelor's degrees, five MBA degree programs and seven specialized master's degrees. Founded in 1908 and continuously accredited by AACSB International since 1923, we transform lives, organizations and communities through educational experiences, outreach and knowledge creation. We are committed to the principles of multiculturalism, diversity, and inclusive excellence through involvement and participation in university and college wide projects and initiatives. Daniels is proud to be among the top business schools nationally and internationally to receive recognition for its graduate and undergraduate programs from U.S. News & World Report, Bloomberg Businessweek, Financial Times and Forbes. With over 300 days of sunshine a year, the nation's largest city park system and a thriving business community, a Pew Research Study lists Denver as the #1 city in which people want to live. The Department of Business Information and Analytics merges the disciplines of Information Technology, Statistics and Operations Management into a department 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 an undergraduate major in business analytics with minors focusing on business analytics, statistics and information technology. Building on a legacy of leadership and first-mover advantage, the Department offers rigorous academic instruction, enjoys strong industry support and has 14 full-time faculty members. The Department is well positioned to be a leader in the developing fields of Business Analytics and Business Intelligence. 

Position Summary

Teaching
The Assistant or Associate Professor in Business Information and Analytics is expected to teach six core courses throughout the academic year, which may include fall, winter, and spring quarters, in the areas of Statistics, Analytics, Data Mining, Quantitative Modeling, Statistical Computing and Data Visualization. Teaching responsibilities may include both undergraduate and graduate level courses using traditional, hybrid, and online delivery methods.  Teaching responsibilities may involve day, night and weekend classes.  Summer teaching is optional and is subject to negotiation with the Chair of the Department.  It is compensated separately.

Research
The individual who fills this position will demonstrate potential for conducting high-quality research in at least one of the following areas:  statistics, business analytics, decision sciences and/or information technology. Experience with research grant writing and the ability to present to scholarly and practitioner-related audiences is a plus. The Assistant Professor will conduct primarily discipline-based research and focus on publishing in target and other high-quality academic journals.  The Associate Professor may focus on scholarship that is discipline-based, related to contributions to practice, as well as related to learning and pedagogy. The expectation of an Associate Professor is to have continued record of high-quality publications in top business journals in the field of Business Information and Analytics. The College and each academic unit maintain lists of target journals. It is expected that the Associate Professor will publish in journals on those lists. Summer research support and two course releases for research activity are granted for two years to an Assistant Professor. An Associate Professor may receive a course release(s) for research activity.

Service
The individual who fills this position will be expected to participate in the academic life of the Department of Business Information and Analytics and Daniels College faculty meetings, assurance of learning, curriculum development, and the advising of students. A good deal of involvement with students is expected of all faculty members in the Department of Business Information and Analytics.  Beyond the academic life of the College, the Assistant Professor will typically engage in limited service activities unless they tie specifically to one's research agenda. The Associate Professor is expected to provide substantial service support and service to the academic, business and/or professional communities. 

Required Education and Qualifications
. Strong written and verbal communication skills. 
. Maintenance of appropriate faculty qualifications (Scholarly Academic) under AACSB Standards. 
. Demonstrated knowledge and experience with a variety of teaching methods and/or curricular perspectives to effectively engage diverse populations and learning styles. 
. Demonstrated commitment to working with students from diverse backgrounds.

Tenure Track Assistant
. Doctorate in Statistics, Information Technology, Operations Research, Decision Sciences or related field.  ABD will be considered, but must be completed no later than March 31 of the first year with Daniels. Candidate will hold the title of instructor until completion of the doctoral degree.    
. Demonstrated potential for conducting high-quality research in at least one of the following areas: statistics, business analytics, decision sciences and/or information technology.

Tenure Track Associate
. PhD or DBA in Statistics, Operations Research, Information Systems, Business Analytics, Operations Management or related field from an AACSB or EQUIS-accredited institution.
. Demonstrated record of excellent teaching. 
. A proven high-quality publication record in journals relevant to statistics, business analytics, decision sciences and/or information technology.

Preferred Education and Qualifications
. Active in the business community and the academy (e.g., consulting, presentations, publications in trade journals and conference proceedings). 
. Prior business/industry experience working directly with and applying statistics, information technology, and/or business analytics in an applied business context. 
. Previous experience or demonstrated ability to teach in a traditional setting, online and/or in hybrid courses.
 
Instructions for Candidates
Applicants must submit a cover letter, CV, teaching philosophy statement, research philosophy statement, list of references, letters of reference, list of courses taught and teaching evaluations that include summary of scores and examples of no more than ten student comments to the University's online application system at the University of Denver website www.dujobs.org (only online applications can be considered, posting number: 001822). Only applications submitted online will be accepted. Once within the job description online, please click "New Resume/CV" at the bottom of the page to begin application.  We recommend combining documents for a maximum of 5 uploads to avoid document upload limits. The position is expected to begin September 1, 2015. For more information, contact Kellie Keeling at Kellie.Keeling 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.
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Young Jin (YJ) Lee, Ph.D.
Assistant Professor
303-871-4813 
Business Information & Analytics 
Daniels College of Business
University of Denver
YoungJin.Lee at du.edu