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Job ID: 109933

Assistant, Associate or Full Professor – Business Analytics
University of Kansas


Date Posted Aug. 3, 2018
Title Assistant, Associate or Full Professor – Business Analytics
University University of Kansas
Lawrence, KS, United States
Department Business
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Professor
    Associate Professor
    Assistant Professor
  • Business - General
 
 

Assistant, Associate or Full Professor – Business Analytics
Business

Position Overview

The School of Business at the University of Kansas is searching for a Professor in Business analytics for the 2019-2020 academic year. The search is open at the Assistant, Associate or Full Professor level. Appointment at a particular level will be based on an applicant’s scholarly and teaching record. This is a full-time, tenure-track position beginning August 18, 2019.

Candidates with experience and expertise in the application of data analytics to contemporary business problems are encouraged to apply. Successful candidates will demonstrate experience in collecting, organizing, managing and extracting useful decision making information from massive complex databases. This position will interact with students, faculty, industry partners, and the broader business community through research focusing on analytics.

Candidate interests in the areas of business intelligence, decision support systems, cloud computing, data visualization/graphics, data mining, machine learning, multivariate and/or Bayesian statistics, computer simulation and modeling, Big Data analytics, scripting languages or programming frameworks (e.g. R, SAS, SQL, Python, Hadoop, Java, MatLab), data management platforms (Sap, Oracle, etc.) and/or analytics tools (Spotfire, Tableau, Oracle Data Visualization, Pentaho, etc.) should be outlined in the research statement required as part of the application materials. Additional interests such as engagement with the business analytics community on digital innovation, data analysis, and providing insights and solutions in the application fields of health care, energy, fraud detection, retailing, and/or insurance should also be outlined in the application materials

Women and minorities, and candidates who will contribute to the climate of diversity in the School of Business, including a diversity of scholarly approaches, are especially encouraged to apply

Job Description

40% Teach a combination of required and elective courses in business analytics at the undergraduate, MBA and doctoral levels.
40% Conduct and publish research on business analytics topics in leading academic journals.
20% Engage in school, university, and professional service activities as needed.

Required Qualifications

A PhD or D.B.A in discipline directly related to business analytics (e.g., data science, data management/modeling, predictive analytics, information science, information systems, applied statistics). Must completed or have reasonable expectation of completing the degree by August 18, 2019.
Evidence of potential for engaging in high quality research and teaching business analytics courses.
A clear ability to teach effectively at the undergraduate, masters, or Ph.D. levels in the areas of business analytics.

Evaluation of these requirements will be made through (1) letter of application describing experience and accomplishments; (2) record of productivity in teaching, research and service as noted in CV; (3) research statement and supplemental materials (e.g., publications); (4) teaching statement and supplemental materials (teaching portfolio, sample syllabi, teaching evaluations); (5) information provided by three professional references.

For appointment at the rank of Assistant Professor:
1. A Ph.D. or D.B.A. in a discipline directly related to business analytics (e.g., data science, data management/modeling, predictive analytics, information science, information systems, applied statistics). Degree must be earned by August 18, 2019.
2. Demonstrated record of teaching in business analytics.
3. Demonstrated (or high potential for) excellent scholarship as shown through publications and working papers.

For appointment at the rank of Associate Professor:
1. A Ph.D. in a discipline directly related to business analytics (e.g., data science, data management/modeling, predictive analytics, information science, information systems, applied statistics).
2. Record of productive teaching excellence in business analytics.
3. Demonstrated excellent scholarship as shown through publications that have enabled the candidate to be successfully promoted to an Associate Professor at research-oriented university of a similar or higher research profile as the University of Kansas.

For appointment at the rank of Full Professor:
1. A Ph.D. in a discipline directly related to business analytics (e.g., data science, data management/modeling, predictive analytics, information science, information systems, applied statistics).
2. Established record of teaching excellence in business analytics and experience directing doctoral students.
3. Sustained record of excellent scholarship as shown through publications that have enabled the candidate to be successfully promoted to a Full Professor at research-oriented university of a similar or higher research profile as the University of Kansas.

Contact Information to Applicants

Suzanna Emelio, semelio@ku.edu

Additional Candidate Instruction

A complete application requires:
on-line application;
current resume;
a cover letter;
research samples;
contact information for three professional references. Letters of recommendation will be requested from selected applicants as the search process moves beyond the initial screening round.
First review of applications will begin on September 11, 2018 and will continue as needed to collect a pool of qualified applicants. To ensure consideration, apply before the application review date. Applications will be accepted until the position is filled.


 
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