Visiting Professor (Open Rank), Department of BIA

Location
Colorado, Denver, USA
Salary
Negotiable
Posted
Jun 02, 2017
Ref
000253
Contact
University of
Position Type
Tenured & Tenure-Track
Institution Type
Four-Year Institution

Position Summary

The individual who fills this position will be a research-active faculty member who will be expected to teach a variety of courses from among undergraduate and graduate classes 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.

The expectation is that the visiting professor will teach the equivalent of two (four-credit hour) courses in each of the three academic quarters (quarters are ten weeks long) of the regular academic year (fall, winter and spring). Summer teaching is optional and is subject to negotiation with the department's chair. It is compensated for separately.

The appropriate individual will be expected to participate in the academic life of the BIA department by attending department and College faculty meetings, performing course assessment, undertaking course redesign and course development whether individually or as part of a team, supervising graduate assistants as appropriate, serving on department and College-wide committees, advising students in both academic and career matters, and acting in a collegial manner.

This visiting position is expected to be a one-year appointment with a possibility of renewal. It is also possible, but not guaranteed, that tenure track positions may be open in following years which the visitor could apply for consideration.

The candidates for the Visiting Associate or Full Professor must demonstrate experience commensurate with associate or full professor rank.

Essential Functions

  • Teaching
    • The individual who fills this position will be expected to teach two (four-credit hour) courses per quarter (fall, winter and spring).
    • Depending on the individual's background, these courses could include statistics, databases, coding in SQL, R, Python, or Visual Basic for Applications, predictive analytics, text mining, etc. at both the graduate and undergraduate levels.
  • Research, Scholarship or Creative Work
    • The individual who fills this position will be expected to continue her/his stream of research and/or other creative work.
    • Case research that can be published in refereed journals is acceptable.
  • Service
    • The individual who fills this position will be expected to attend Department and College faculty meetings, serve on Department and College committees, and interact with students and alumni at department-sponsored events as appropriate.

Required Qualifications

  • Ph.D in Information Systems, Business Analytics, Operations Research, Management Science, Statistics, Decision Sciences, or related discipline.
  • Analytics teaching experience with excellent teaching evaluations at the undergraduate level.
  • Proficiency with Microsoft Word, Excel and PowerPoint.
  • Maintenance of AACSB qualifications for teaching.
  • Ability to teach undergraduate and graduate courses in the department.
  • Intermediate to advanced computer skills.
  • Experience in teaching in a laptop environment.
  • Experience in course design and development.

Preferred Qualifications

  • Ability to teach courses in non-structured data analytic.
  • Currently or previously employed in academia or other research-related positions where publishing is natural and expected.
  • Graduate level teaching experience.
  • Intermediate to advanced Excel and PowerPoint skills.
  • Database and Statistical package skills.

Work Schedule

Day and evening classes.

Application Deadline

For best consideration, please submit your application materials by Friday, June 16, 2017.

Special Instructions

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. For questions about this position, please contact Andrew Urbaczewski at

Please include the following documents with your application:

  1. Resume
  2. Cover Letter