The School of Business Operations and Information Management Department at the University of Connecticut invites applications for a non-tenure track position at the rank of Assistant Professor In-Residence, with primary responsibilities in teaching and service, and interests in outreach and research at the University’s Stamford campus in the areas of Business Data Analytics, technical Management Information Systems (MIS), Operations Management (OM) and Operations Research to begin in Fall 2019.

The University of Connecticut (UConn) is entering a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/) and the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments and a bold new Academic Plan: Path to Excellence (http://issuu.com/uconnprovost/docs/academic-plan-single-hi-optimized_1 ).

The Department of Operations and Information Management is among the top research departments in its field.  The 20 research faculty in the department are actively engaged in cutting-edge research in information systems, data analytics, optimization and operations management. The five In-residence faculty are involved with teaching, service, outreach and program management.

The successful candidate will be expected to share a deep commitment to effective instruction at the undergraduate and graduate levels, to the development of innovative courses, and to the mentoring of students in their professional development.  In addition, individuals will be expected to contribute to scholarship and outreach targeted at the professional community so as to maintain faculty qualifications under AACSB guidelines.  Successful candidates will also be expected to broaden participation among members of under-represented groups; demonstrate through their activities the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; contribute to the development of pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.

MINIMUM QUALIFICATIONS

• Candidates must have demonstrated excellence or strong potential in teaching relevant courses.
• Candidates must possess a Ph.D. or equivalent in the appropriate fields of interest to the department.  Equivalent foreign degrees are acceptable.
• A deep commitment to promoting diversity through their academic and research programs.
• Excellent interpersonal skills.

PREFERRED QUALIFICATIONS

• Some industry experience using analytics.
• Experience in R, Python, SAS, Hadoop, Tableau or other relevant analytics tools.

APPOINTMENT TERMS

This is a full-time, nine-month, end-date non-tenure track position with the possibility of annual reappointment, contingent upon positive annual reviews and program funding, and may lead to a multi-year appointment.  The anticipated start date is August 23, 2019.  The successful candidate’s primary academic appointment will be at the University’s Stamford regional campus with the possibility of assignment at other regional campuses.  Salary will be commensurate with qualifications and experience.

TO APPLY

Select “Apply Now” to be redirected to Academic Jobs Online to complete your application. Please submit the following and include your last name as well as search #2019398 in the document title for each document submitted: a cover letter, curriculum vitae, teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, etc.); research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.); commitment to diversity statement (including broadening participation, integrating multicultural experiences in instruction and research and pedagogical techniques to meet the needs of diverse learning styles, etc.); sample journal articles or books.  Additionally, please follow the instructions in Academic Jobs Online to direct three reference writers to submit letters of reference on your behalf.  Evaluation of applicants will begin immediately and continue until the position is filled.