The Assistant or Associate Professor in the Department of BIA is expected to teach six core courses throughout the academic year, which may include fall, winter, and spring quarters, in the areas of Statistics, Predictive Analytics, Data Mining, Quantitative Modeling, Statistical Computing, Data Warehousing 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. Maintenance of AACSB academic qualifications (Scholarly Academic) is required.
Faculty members are expected to participate in Department and College faculty meetings, curriculum development, assurance of learning, and the advising of students. Faculty should be able to state past or proposed activities that promote diversity and equal opportunity (examples include, but are not limited to, developing strategies for the educational or professional advancement of students in underrepresented groups or activities such as recruitment, retention, and mentoring/advising of underrepresented students or new faculty.)
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.
Research: Experience with research grant writing and the ability to present to scholarly and practitioner-related audiences is a plus. The individual who fills this position will demonstrate the potential to publish articles in high-quality journals (e.g. Financial Times Top 50 Journals or other A-level journals in at least one of the following areas: statistics, business analytics, decision sciences and/or information technology
The successful candidate will focus on conducting primarily discipline-based research and focus on publishing in BIA's target journals.
Tenure Track Assistant:
- Doctorate in Information Systems, Business Analytics, Statistics, Operations Management, Operations Research 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.
Tenure Track Associate:
- PhD or DBA in Information Systems, Statistics, Operations Management, Information Systems, Business Analytics, Operations Research or related field.
- Evidence of excellence research and teaching
Both Assistant and Associate Professor candidates:
- Demonstrated commitment to working with students from diverse backgrounds.
- Strong written and verbal communication skills
- Maintenance of appropriate faculty qualifications (Scholarly Academic) under AACSB Standards is required
- Demonstrated knowledge and experience with a variety of teaching methods and/or curricular perspectives to effectively engage diverse populations and learning styles.
- PhD or DBA Information Systems, Statistics, Business Analytics, Operations Management, Operations Research, or related field from an AACSB or EQUIS-accredited
- Assistant Professor Candidates must demonstrate potential for excellent research and teaching;
- Associate Professor Candidates will show evidence of excellence research and teaching.
- Both Assistant and Associate Professor candidates:
- Active in the business community and the academy (e.g., consulting, presentations, publications in academic business 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
The search committee will begin reviewing applications in early September 2018. The application review process will remain open until the position is filled. The position is expected to begin September 1, 2019.
For best consideration, please submit your application materials by 4:00 p.m. (MST) October 15, 2018
Candidates must apply online through www.du.edu/jobs to be considered. Only applications submitted online will be accepted. Once within the job description online, please scroll to the bottom of the page to apply.
Please include the following documents with your application:
- Cover Letters
- Recent publications or working papers
- A list of three individuals who can serve as references
NOTE: The online system is limited to uploading 10 files. Please combine content if necessary to get all content uploaded.
The University of Denver is committed to enhancing the diversity of its faculty and staff and encourages applications from women, minorities, members of the LGBTQ community, people with disabilities and veterans. The University is an equal opportunity/affirmative action employer.
All offers of employment are based upon satisfactory completion of a criminal history background check.