INTRODUCTION

The Department of Operations and Information Management in the School of Business at the University of Connecticut invites applications for tenure-track Assistant, Associate or Full Professor positions focused on business analytics, information systems, supply chain management, computer security, and/or other technical areas of focus of the department to begin in January 2022, subject to final budgetary approval.

The Department of Operations and Information Management, one of five academic departments in the School of Business, offers undergraduate majors in Management Information Systems (MIS), in Management and Engineering for Manufacturing (MEM), and in Business Data Analytics (BDA). The Department also offers the highly ranked MS in Business Analytics and Project Management, is active in delivering the School’s Executive MBA and MBA (full and part-time), and has a strong Ph.D. program.

The successful candidate will be expected to contribute to research and scholarship through high-quality research publications in business analytics, information systems, supply chain management, computer security, and/or other technical areas of focus of the department. In addition to research, the individual will be expected to teach appropriate courses at the undergraduate, master's, and Ph.D. levels as well as being an active participant in outreach and service activities. The successful candidate will also be expected to broaden participation among members of under-represented groups; demonstrate through their research, teaching, and public engagement 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.

Founded in 1881, UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher education and includes a main campus in Storrs, CT, four regional campuses throughout the state, and 13 Schools and Colleges, including a Law School in Hartford, and Medical and Dental Schools at the UConn Health campus in Farmington. The University has approximately 10,000 faculty and staff and 32,000 students, including nearly 24,000 undergraduates and over 8,000 graduate and professional students. UConn is a Carnegie Foundation R1 (highest research activity) institution, among the top 25 public universities in the nation. Through research, teaching, service, and outreach, UConn embraces diversity and cultivates leadership, integrity, and engaged citizenship in its students, faculty, staff, and alumni. UConn promotes the health and well-being of citizens by enhancing the social, economic, cultural, and natural environments of the state and beyond. The University serves as a beacon of academic and research excellence as well as a center for innovation and social service to communities. UConn is a leader in many scholarly, research, and innovation areas. Today, the path forward includes exciting opportunities and notable challenges. Record numbers of undergraduate applications and support for student success have enabled the University to become extraordinarily selective.

MINIMUM QUALIFICATIONS

• Earned Ph.D. in Information Systems, Operations Management, Operations Research, or related field expected by the start date of the appointment. Equivalent foreign degrees are acceptable.
• Applicants should demonstrate a potential to establish a successful research and scholarship record supported by copies of published/working papers and manuscripts with potential for publication in leading academic journals in business analytics, information systems, supply chain management, computer security, and other technical areas of focus of the Department.
• Promise of excellence in teaching supported by evidence of superior classroom performance at the undergraduate and graduate levels.
• Effective communication skills.
• A deep commitment to promoting diversity through their academic and research programs. Applicants at higher ranks should possess an excellent record of research, teaching performance, and involvement in undergraduate, graduate, and doctoral education, commensurate with the rank they are seeking.

PREFERRED QUALIFICATIONS

• Applicants at the ranks of Associate and Full Professor should have a record of contribution through research, teaching, and public engagement to the diversity and excellence of the learning experience and evidence of service to the university, the field, or the profession through leadership in professional organizations, editorial activities, and successful involvement in undergraduate and/or graduate curriculum development.

APPOINTMENT TERMS

These are full-time, nine-month, tenure-track positions with an anticipated start date of January 1, 2022. The primary academic appointment for the successful candidates will be at the Storrs campus with the possibility of assignment at other UConn regional campuses or in online instruction. Rank and salary will be commensurate with qualifications and experience.

TERMS AND CONDITIONS OF EMPLOYMENT

Employment at the University of Connecticut is contingent upon the successful candidate’s compliance with the University’s Mandatory Workforce COVID-19 Vaccination Policy.  This Policy states that all workforce members are required to have or obtain a Covid-19 vaccination as a term and condition of employment at UConn, unless an exemption or deferral has been approved. 

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

TO APPLY

Please apply online to Academic Jobs Online https://academicjobsonline.org/ajo/jobs/19492 and submit the following application materials:

• A cover letter specifically addressing your credentials relative to the minimum and preferred qualifications listed above,
• Curriculum vitae,
• Research and scholarship statement (innovative concepts that will form the basis of academic career, experience in proposal development, mentorship of graduate students, etc.);
• Teaching statement (including teaching philosophy, teaching experience, commitment to effective learning, concepts for new course development, 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.);
• Samples of research such as working papers, journal articles, or books
• Three (3) letters of reference.

Review of applications will begin immediately. For full consideration, please apply by October 9, 2021.

For more information regarding the Department of Operations and Information Management please visit the department website at https://opim.business.uconn.edu/.

Inquiries other than applications can be directed to:

Dr. Cuihong Li
OPIM Department Head University of Connecticut
School of Business
2100A Hillside Road, Unit 1041
Storrs, CT 06269-1041
cuihong.li@uconn.edu

This position will be filled subject to budgetary approval.

All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp.

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.