Assistant/Associate/Full Professor in Data-driven solutions for complex systems and models

Description

The Department of Applied and Computational Mathematics and Statistics (ACMS) in the College of Science at the University of Notre Dame is accepting applications for a position at the rank of assistant, associate, or full professor, which is expected to be filled this year. 

 

Preference will be given to applicants whose research focuses on developing data-driven approaches and methods in areas, such as physics-informed regularization, operator learning, state-space models, scientific machine learning, and the mathematics of deep neural networks to solve linear and nonlinear systems and differential equations. Additionally, research on optimization, uncertainty quantification, and machine learning techniques for multi-fidelity, multi-scale, and multi-physics problems is also of interest. The ideal candidate will have a proven track record of successful multi-disciplinary collaboration.

 

ACMS includes research groups in applied mathematics, statistics, and computational science involving various multi-disciplinary collaborations.  ACMS offers a Bachelor of Science, a doctoral degree, a research master’s degree, and a professional master’s degree. Position duties include research, teaching, and service. The teaching load in ACMS is competitive and the position is expected to begin in August 2025.

 

We will begin reviewing completed applications on October 15, 2024.

Qualifications

Candidates at the assistant, associate, or full professor must have a Ph.D. degree conferred in applied mathematics, data science, mathematics, statistics, or a closely related field.  Candidates who are ABD in applied mathematics, data science, mathematics, statistics, or a closely related field will also be considered.

Application Instructions

Applications, including a cover letter, curriculum vitae, research statement, and teaching statement, should be submitted through the Interfolio system. Applicants should also arrange for at least three letters of recommendation to be submitted via Interfolio. 

Questions about the positions may be addressed to Department Chair, Fang Liu, at fliu2@nd.edu.

 

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 is committed to building a culturally diverse workplace.  We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity.  Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).

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.