The Department of Applied and Computational Mathematics and Statistics (ACMS) in the College of Science at the University of Notre Dame invites applications for a Visiting Assistant Professor of the Practice position. This two year visiting appointment will serve as a pilot program to establish and lead a new ACMS Consulting Center.
This position provides an exciting opportunity to build and direct a center focused on developing the next generation of consulting professionals while providing high impact consulting support to the University community. The ACMS Consulting Center will train M.S. and Ph.D. students to apply statistical, mathematical, computational, and AI/machine learning approaches to real-world challenges while supporting faculty, staff, and graduate students engaged in interdisciplinary research.
The successful candidate will serve as the founding director of the Consulting Center and play a critical role in establishing its vision, operations, partnerships, and long term impact. The Center is envisioned as a hub for interdisciplinary collaboration and research support across the University.
Appointment Details
This is a two-year visiting appointment at the rank of Visiting Assistant Professor of the Practice. The position is expected to begin in August 2026 or later.
The appointment includes responsibilities related to teaching, service, consulting activities, and the development and leadership of the ACMS Consulting Center. The teaching load in ACMS is competitive and designed to support the responsibilities associated with building and directing the Center.
Key Responsibilities
Design, establish, and lead the ACMS Consulting Center, including developing the Center’s vision, operations, policies, procedures, and assessment strategies.
Build and expand partnerships with faculty, staff, researchers, and academic units across the University to increase awareness and utilization of the Center’s services.
Provide consulting expertise to faculty, staff, and graduate students on research projects involving statistics, data science, mathematical modeling, computation, and artificial intelligence/machine learning.
Support research teams through study design, data analysis, modeling approaches, computational methods, interpretation of results, and effective communication of technical findings.
Develop and teach a graduate level consulting course focused on consulting practice, communication, ethics, project management, and applied problem-solving.
Mentor and supervise graduate students participating in consulting engagements and provide opportunities for students to gain practical consulting experience.
Develop processes and best practices that prepare students for successful careers in consulting and applied data-driven problem solving.
Coordinate and assist with the ACMS/Math Lab.
Contribute to departmental service activities consistent with a Professor of the Practice appointment.
Participate in scholarly and professional activities related to consulting, applied mathematics, statistics, data science, computation, and interdisciplinary research.
About the University of Notre Dame and the ACMS Department
The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!
The Department of Applied and Computational Mathematics and Statistics (ACMS) supports interdisciplinary research and education across applied mathematics, statistics and data science, and artificial intelligence and machine learning. ACMS faculty engage in a wide range of collaborative research partnerships and offer undergraduate, graduate, and professional programs, including a Bachelor of Science, doctoral degree, research master’s degree, and professional master’s degree.
Minimum Qualifications
Bachelor’s degree in mathematics, statistics, data science, applied mathematics, or a closely related field.
At least one year of professional consulting experience.
Demonstrated ability to communicate complex technical concepts effectively to diverse audiences and stakeholders.
Preferred Qualifications
Master’s degree or Ph.D. in Applied Mathematics, Data Science, Mathematics, Statistics, or a closely related field.
Significant experience providing consulting services involving statistics, computational methods, mathematical modeling, or artificial intelligence/machine learning.
Experience teaching, mentoring, or training students or professionals.
Demonstrated leadership, organizational, and program development skills.
Experience working in interdisciplinary research environments.
Applicants should submit:
Cover letter
Curriculum vitae or résumé
Review of applications will begin immediately and continue until the position is filled.
Questions about the position may be addressed to Department Chair Jonathan Hauenstein at hauenstein@nd.edu
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. Moreover, 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 an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597
