University of Notre Dame
Tenured or Tenure Track Faculty Position in the IT, Analytics, and Operations (I
University of Notre Dame, Notre Dame, Indiana, us, 46556
Overview
The IT, Analytics, and Operations (ITAO) Department at the University of Notre Dame’s Mendoza College of Business announces an open rank tenured/tenure track position. The candidates must have a PhD in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field. Responsibilities
Carry out research, teaching, and service; teaching load is 9 credit hours per year; salary and research budget are highly competitive, with generous summer support based on research productivity. Contribute to a vibrant research environment and collaborate with colleagues across departments and labs including HOPE (Humanitarian Operations Lab), HAL (Human-centered Analytics Lab), GAMA (Gaming Analytics Lab), and the OPS Lab (Operations and Platforms for Sustainability). Engage in interdisciplinary opportunities, including possible affiliate status in other departments (e.g., CS or Statistics) or with the Lucy Family Institute for Data and Society. Participate in the department’s activities related to analytics, information systems, operations management, and related areas, with potential teaching and research aligned to business applications. Qualifications
Entry-level candidates must have completed all requirements for a Ph.D. or have completed all but dissertation in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field with degree expected by July 1, 2026. Advanced-level candidates (assistant, associate, or full professor) must have a Ph.D. in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field. Application Instructions
Applicants should submit a CV, a cover letter describing interest in the position, and one document with three references along with their contact information. The search committee intends to review applications on a rolling basis starting September 15, 2025. Applications will be accepted until positions are filled. Equal Employment Opportunity Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity. Background Check
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar employment; each case will be examined to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in disqualification. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
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The IT, Analytics, and Operations (ITAO) Department at the University of Notre Dame’s Mendoza College of Business announces an open rank tenured/tenure track position. The candidates must have a PhD in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field. Responsibilities
Carry out research, teaching, and service; teaching load is 9 credit hours per year; salary and research budget are highly competitive, with generous summer support based on research productivity. Contribute to a vibrant research environment and collaborate with colleagues across departments and labs including HOPE (Humanitarian Operations Lab), HAL (Human-centered Analytics Lab), GAMA (Gaming Analytics Lab), and the OPS Lab (Operations and Platforms for Sustainability). Engage in interdisciplinary opportunities, including possible affiliate status in other departments (e.g., CS or Statistics) or with the Lucy Family Institute for Data and Society. Participate in the department’s activities related to analytics, information systems, operations management, and related areas, with potential teaching and research aligned to business applications. Qualifications
Entry-level candidates must have completed all requirements for a Ph.D. or have completed all but dissertation in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field with degree expected by July 1, 2026. Advanced-level candidates (assistant, associate, or full professor) must have a Ph.D. in Operations Management, Information Systems, Statistics, Computer Science, Computational Social Sciences, or a related field. Application Instructions
Applicants should submit a CV, a cover letter describing interest in the position, and one document with three references along with their contact information. The search committee intends to review applications on a rolling basis starting September 15, 2025. Applications will be accepted until positions are filled. Equal Employment Opportunity Statement
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity. Background Check
This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar employment; each case will be examined to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in disqualification. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597.
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