Assistant Professor in Data Science

The University of New Mexico•Albuquerque, NM

7d•Onsite

About The Position

The Department of Mathematics and Statistics anticipates the appointment of a full-time, tenure-track Assistant Professor in Data Science beginning Fall 2027. A PhD in Statistics, Mathematics, Computer Science, or a closely related field is required by the appointment start date. The Department seeks candidates pursuing research in one or more areas central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with the ability to contribute to curriculum needs in the department. The successful candidate will play a key role in developing and delivering core courses in our Data Science Concentration, which launched in Fall 2026, including MATH 2120 Introduction to Data Science and MATH 381 Mathematical Foundations of Data Science. The concentration integrates departmental strengths across Statistics (e.g., statistical learning, causal inference, experimental design), theoretical areas (e.g., probability, stochastic PDEs, algebraic statistics, topological data analysis), and computational areas (e.g., scientific machine learning, optimization, inverse problems, data assimilation). The position offers opportunities for cross-disciplinary collaboration across UNM and with national laboratories such as Sandia National Laboratories.

Requirements

A PhD in Statistics, Mathematics, Computer Science, or a closely related field by the appointment start date, August 2027.
Research experience in one or more areas central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems, or data assimilation.
Teaching experience at the university level.

Nice To Haves

A proven record of, or clear potential for, impactful research in one or more of the following areas: statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems, data assimilation.
Demonstrated excellence in teaching, including mentoring students at all levels.
Ability to teach and develop courses in the Data Science concentration and to contribute to broader departmental needs in statistics, applied mathematics, or pure mathematics.
Demonstrated or potential engagement in cross-disciplinary collaboration, including with other departments at UNM or with national laboratories such as Sandia National Laboratories.
Postdoctoral experience.
A demonstrated commitment to cultivate an understanding of the rich and varied cultures of New Mexico and the success of the university's mission to serve local and global communities.

Responsibilities

Supervise PhD and master's student research.
Contribute to curriculum needs in the department.
Develop and deliver core courses in the Data Science Concentration, including MATH 2120 Introduction to Data Science and MATH 381 Mathematical Foundations of Data Science.
Engage in cross-disciplinary collaboration across UNM and with national laboratories such as Sandia National Laboratories.