Assistant Professor in Data Science

Position Summary

The Department of Mathematics and Statistics at the University of New Mexico invites applications for a full-time, tenure-track Assistant Professor position in Data Science, with a start date of August 2026. Applicants must have a . in Mathematics, Statistics, Computer Science, or a closely related field by the appointment start date.

The successful candidate will develop a strong independent research program in one or more areas central to modern Data Science, such as: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, or Computational Statistics, with opportunities for cross-disciplinary collaboration across UNM and with national laboratories such as Sandia National Laboratories.

The new faculty member will play a key role in developing and delivering core courses in the concentration, such as:
- Introduction to Data Science
- Probability and Statistics for Data Science
- Optimization and Algorithms
- Data Mining and Machine Learning
- Capstone in Data Science

This hire will also support course needs in Applied or Pure Mathematics and Statistics, strengthening the department’s capacity to serve diverse student populations and client departments (., Sociology, Psychology, Biology, Economics, Political Science). By expanding our ability to deliver rigorous and modern mathematical training, this position will enhance job placement for our students and deepen interdepartmental and external partnerships.

This strategic hire is a cornerstone of our newly approved Data Science Concentration, which integrates departmental strengths across Statistics (., applied and Bayesian methods), Pure Mathematics (., topological data analysis), and Applied Mathematics (., machine learning, scientific computing, uncertainty quantification). The hire will support this high-impact, interdisciplinary initiative, which positions our department as a campus leader in modern data-driven education and research.

A complete application consists of:
• Cover letter (Applicants are encouraged to include 2–3 sentences on how their teaching, research, or service may contribute to UNM’s mission to serve diverse local and global
• Curriculum vitae
• Research statement
• Teaching statement
• A minimum of four letters of recommendation, including at least one addressing teaching experience

For more about the department, visit .

Letters of recommendation may be sent to Amy Hathaway at or by mail to:
Search Committee – Data Science Position
Department of Mathematics and Statistics
MSC01 1115, 1 University of New Mexico
Albuquerque, NM 87131

For inquiries about the position, contact:

• Dr. Mohammad Motamed, Search Committee Chair:

UNM is an Equal Opportunity/Affirmative Action Employer. All qualified applicants are encouraged to apply.

The Applicant is required to provide official certification of successful completion of all degree requirements prior to her/his initial employment with UNM.

Qualifications

Minimum Qualifications:

• . in Mathematics, Statistics, Computer Science, or a closely related field by the appointment start date
• Research experience in one or more areas central to modern Data Science, such as: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, or Computational Statistics
• Teaching experience at the university level

Preferred Qualifications:

• A proven record of impactful research in one or more of the following areas: Optimization, Machine Learning, Statistical Learning, Applied Probability, Graph Theory and Network Science, Computational Statistics
• Ability to contribute to the curriculum of the Data Science concentration and broader departmental needs
• Demonstrated excellence in teaching, including mentoring students at all levels
• Demonstrated or potential engagement in cross-disciplinary collaboration, including with other departments at UNM or with national laboratories such as Sandia National Laboratories
• A demonstrated commitment to cultivating an understanding of the rich and varied cultures of New Mexico and to the university’s mission to serve local and global communities
• Postdoctoral experience